European Lighthouse on Secure and Safe AI

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Benchmark Datasets

Six datasets and corresponding metrics will be defined, corresponding to the use cases.

Report on Privacy and Infrastructures Grand Challenge and Benchmarking Metrics

This report will summarise the results of Task 2.1.

Papers and Accompanying Code from Task 3.5 with New Methods and Open Source Tools

Papers and accompanying code from Task 3.5 with new methods and open source tools.

Report on Network and Communication Activities 2

Report on Network and Communication activities 2.

Intermediate Report on Privacy and Infrastructures

This report will consolidate progress on Tasks 2.2-2.4.

Report on Existing TPCA for Delivering AI Assurance 2: Journal Publication

This publication and D12 (D3.4) will summarise the findings on Task 3.3.

Report on Existing TPCA for Delivering AI Assurance 1: Policy Brief and Public Engagement Report

This publication and D13 (D3.5) will summarise the findings on Task 3.3.

Use Case Analysis Report

Detailed analysis of the six use cases, leading to specifications and requirements to be used as input to WP1-3.

Report on Technical Robustness and Safety Grand Challenge and Benchmarking Metrics

This report will summarise the results of Task 1.1.

Publish Strategic Research Agenda

Publish Strategic Research Agenda.

Report on Human-in-the-Loop Decision Making Grand Challenge

This report will summarise the results of Task 3.1.

Report on Results Based on SME Open Call

Report on results based on SME open call.

Report on Network and Communication Activities 3

Report on Network and Communication activities 3.

Report on Network and Communication Activities 1

Report on Network and Communication activities 1.

Report Detailing the Investigation and Framework from the Activities of Task 3.4

Report detailing the investigation and framework from the activities of Task 3.4.

Use Cases Activity Report 3

Updated version of D19 (D4.4).

New Methods for Interpretable-by-Design Deep Learning Methods

This publication will cover Task 3.2.

Use Cases Activity Report 1

Summary of progress on the implementation of demonstrators and benchmarks for each of the six use cases.

Use Cases Activity Report 2

Updated version of D18 (D4.3).

Intermediate Report on Technical Robustness and Safety

This report will consolidate progress on Tasks 1.2-1.5.

Software and Tools for Privacy-Preserving and Collaborative Learning

Release of open source software described in Task 2.5.

Software and Tools for Technical Robustness and Safety

Release of open source software described in Task 1.6.

Course Materials on Research Outcomes 1

Course materials on research outcomes 1.

Course Materials on Research Outcomes 2

Course materials on research outcomes 2.

Visual Identity, Style and Communication Guidelines

Visual identity, style and communication guidelines.

Publicaciones

Towards algorithms and models that we can trust: A theoretical perspective

Autores: Luca Oneto, Sandro Ridella, Davide Anguita
Publicado en: Neurocomputing, Edición 592, 2024, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.127798

Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness

Autores: Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli
Publicado en: Pattern Recognition, Edición 168, 2025, ISSN 0031-3203
Editor: Elsevier BV
DOI: 10.1016/J.PATCOG.2025.111788

Informed Machine Learning: Excess risk and generalization

Autores: Luca Oneto, Sandro Ridella, Davide Anguita
Publicado en: Neurocomputing, Edición 646, 2025, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/J.NEUCOM.2025.130521

Secml-Malware: Pentesting Windows Malware Classifiers with Adversarial Exemples in Python

Autores: Luca Demetrio, Battista Biggio
Publicado en: SSRN Electronic Journal, 2022, ISSN 1556-5068
Editor: Elsevier BV
DOI: 10.2139/SSRN.4066509

Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection

Autores: Francesco Cappio Borlino, Lorenzo Lu, Tatiana Tommasi
Publicado en: IEEE Access, Edición 12, 2025, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3409587

Mask2Anomaly: Mask Transformer for Universal Open-Set Segmentation

Autores: Shyam Nandan Rai, Fabio Cermelli, Barbara Caputo, Carlo Masone
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, Edición 46, 2024, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3419055

Modeling Brain Aging With Explainable Triamese ViT: Towards Deeper Insights Into Autism Disorder

Autores: Zhaonian Zhang, Vaneet Aggarwal, Plamen Angelov, Richard Jiang
Publicado en: IEEE Journal of Biomedical and Health Informatics, Edición 29, 2025, ISSN 2168-2194
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/JBHI.2025.3574366

Learning to mask and permute visual tokens for Vision Transformer pre-training

Autores: Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo Baraldi, Andrea Pilzer, Rita Cucchiara
Publicado en: Computer Vision and Image Understanding, Edición 252, 2025, ISSN 1077-3142
Editor: Elsevier BV
DOI: 10.1016/J.CVIU.2025.104294

IDEAL: Interpretable-by-Design ALgorithms for learning from foundation feature spaces

Autores: Plamen Angelov, Dmitry Kangin, Ziyang Zhang
Publicado en: Neurocomputing, Edición 626, 2025, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/J.NEUCOM.2025.129464

Neuron Activation Pattern and Applications

Autores: Z. Jiang, P. Angelov, D. Kangin, …
Publicado en: IEEE Transcations on Pattern Analysis and Machine Intelligence, 2024, ISSN 0000-0000
Editor: IEEE
DOI: 10.1109/TASE49443.2020.00020

Dispelling the Digital Enchantment: how can we move beyond its destructive influence and reclaim our right to an open future?

Autores: Karen Yeung
Publicado en: Prometheus, 2023, ISSN 1470-1030
Editor: Pluto Journals
DOI: 10.13169/prometheus.39.1.0008

IEEE Transactions on Pattern Analysis and Machine Intelligence

Autores: Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
Publicado en: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024., ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2024.3355155

Delve Into Neural Activations: Toward Understanding Dying Neurons

Autores: Ziping Jiang, Yunpeng Wang, Chang-Tsun Li, Plamen Angelov, Richard Jiang
Publicado en: IEEE Transactions on Artificial Intelligence, Edición 4, 2024, ISSN 2691-4581
Editor: IEEE
DOI: 10.1109/TAI.2022.3180272

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Autores: Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard A. Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Publicado en: ACM Computing Surveys, Edición 55, 2025, ISSN 0360-0300
Editor: Association for Computing Machinery (ACM)
DOI: 10.1145/3585385

From ‘wild west’ to ‘responsible’ AI testing ‘in-the-wild’: lessons from live facial recognition testing by law enforcement authorities in Europe

Autores: Karen Yeung, Wenlong Li
Publicado en: Data & Policy, Edición 7, 2025, ISSN 2632-3249
Editor: Cambridge University Press (CUP)
DOI: 10.1017/DAP.2025.10019

IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data

Autores: Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
Publicado en: Applied Soft Computing, Edición 183, 2025, ISSN 1568-4946
Editor: Elsevier BV
DOI: 10.1016/J.ASOC.2025.113582

When Should Algorithms Resign? A Proposal for AI Governance

Autores: Umang Bhatt, Holli Sargeant
Publicado en: The IEEE Computer Society, ISSN 0018-9162
Editor: The IEEE Computer Society
DOI: 10.48550/ARXIV.2402.18326

Building machines that learn and think with people

Autores: Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths
Publicado en: Nature Human Behaviour, Edición 8, 2024, ISSN 2397-3374
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41562-024-01991-9

Fairness Meets Cross-Domain Learning: A Benchmark of Models and Metrics

Autores: Leonardo Iurada; Silvia Bucci; Timothy M. Hospedales; Tatiana Tommasi
Publicado en: IEEE Access, 2024, ISSN 2169-3536
Editor: IEEE
DOI: 10.1109/ACCESS.2024.3383841

Algorithmic loafing and mitigation strategies in Human-AI teams

Autores: Isa Inuwa-Dutse, Alice Toniolo, Adrian Weller, Umang Bhatt
Publicado en: Computers in Human Behavior: Artificial Humans, Edición 1, 2025, ISSN 2949-8821
Editor: Elsevier BV
DOI: 10.1016/J.CHBAH.2023.100024

Investigating over-parameterized randomized graph networks

Autores: Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
Publicado en: Neurocomputing, Edición 606, 2024, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.128281

Towards Robust Metrics for Concept Representation Evaluation

Autores: Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 37, 2023, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V37I10.26392

Fair graph representation learning: Empowering NIFTY via Biased Edge Dropout and Fair Attribute Preprocessing

Autores: Danilo Franco, Vincenzo Stefano D’Amato, Luca Pasa, Nicolò Navarin, Luca Oneto
Publicado en: Neurocomputing, ISSN 1872-8286
Editor: Neurocomputing
DOI: 10.1016/J.NEUCOM.2023.126948

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Autores: Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, Edición 47, 2025, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2025.3573237

Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond

Autores: Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
Publicado en: Springer Nature Computer Science, 2023, ISSN 2661-8907
Editor: Springer Nature
DOI: 10.1007/s42979-023-02292-0

Nebula: Self-Attention for Dynamic Malware Analysis

Autores: Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Publicado en: IEEE Transactions on Information Forensics and Security, Edición 19, 2025, ISSN 1556-6013
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIFS.2024.3409083

ModSec-AdvLearn: Countering Adversarial SQL Injections With Robust Machine Learning

Autores: Giuseppe Floris, Christian Scano, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio
Publicado en: IEEE Transactions on Information Forensics and Security, Edición 20, 2025, ISSN 1556-6013
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIFS.2025.3583234

Perspectives on incorporating expert feedback into model updates

Autores: Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Publicado en: CellPress Open Access - Patterns, ISSN 0000-0000
Editor: CellPress Open Access
DOI: 10.1016/J.PATTER.2023.100780

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

Autores: Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 39, 2025, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V39I3.32263

Adversarial Attack Detection via Fuzzy Predictions

Autores: Y. Li, P. Angelov, N. Suri
Publicado en: IEEE Transactions on Fuzzy Systems, ISSN 1941-0034
Editor: IEEE Transactions on Fuzzy Systems
DOI: 10.1109/TFUZZ.2024.3473768

On the robustness of adversarial training against uncertainty attacks

Autores: Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
Publicado en: Pattern Recognition, Edición 172, 2025, ISSN 0031-3203
Editor: Elsevier BV
DOI: 10.1016/J.PATCOG.2025.112519

Collaborative learning from distributed data with differentially private synthetic data

Autores: Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
Publicado en: BMC Medical Informatics and Decision Making, Edición 24, 2024, ISSN 1472-6947
Editor: Springer Science and Business Media LLC
DOI: 10.1186/S12911-024-02563-7

Hierarchical multimodal transformers for Multipage DocVQA

Autores: Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny
Publicado en: Pattern Recognition, Edición 144, 2023, ISSN 0031-3203
Editor: Elsevier BV
DOI: 10.1016/J.PATCOG.2023.109834

Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis

Autores: Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun
Publicado en: IEEE Transactions on Dependable and Secure Computing, Edición 22, 2025, ISSN 1545-5971
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2025.3550330

Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation

Autores: Luca Barsellotti, Roberto Amoroso, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Publicado en: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Editor: IEEE
DOI: 10.1109/CVPR52733.2024.00354

UnGANable: Defending Against GAN-based Face Manipulation Proceedings Article

Autores: Zheng Li; Ning Yu; Ahmed Salem; Michael Backes; Mario Fritz; Yang Zhang
Publicado en: USENIX Security Symposium (USENIX Security), 2023
Editor: USENIX
DOI: 10.5555/3620237.3620641

Do Invariances in Deep Neural Networks Align with Human Perception?

Autores: V. Nanda, A. Majumdar, C. Kolling, J. Dickerson, K. Gummadi, B. Love and A. Weller.
Publicado en: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), 2023.
Editor: AAAI 2023
DOI: 10.1609/AAAI.V37I8.26112

Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks

Autores: Mark Niklas Müller, Marc Fischer, Robin Staab, Martin Vechev
Publicado en: PLDI'23 (Proceedings of the ACM on Programming Languages), 2023, ISSN 2475-1421
Editor: """Association for Computing Machinery New York, NY, United States"""
DOI: 10.1145/3591252

Individual Privacy Accounting with Gaussian Differential Privacy

Autores: Antti Koskela, Marlon Tobaben, Antti Honkela
Publicado en: ICLR 2023, ISSN 2209-15596
Editor: ICLR 2023

Client-specific Property Inference against Secure Aggregation in Federated Learning

Autores: Raouf Kerkouche, Gergely Ács, Mario Fritz
Publicado en: Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES), ACM, 2023
Editor: WPES
DOI: 10.48550/ARXIV.2303.03908

Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks

Autores: Daniel Gibert, Giulio Zizzo, Quan Le
Publicado en: Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2025
Editor: ACM
DOI: 10.1145/3605764.3623914

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing

Autores: Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz
Publicado en: International Conference on Machine Learning (ICML)
Editor: International Conference on Machine Learning (ICML)

Hyperbolic Safety-Aware Vision-Language Models

Autores: Tobia Poppi;Tejaswi Kasarla;Pascal Mettes;Lorenzo Baraldi;Rita Cucchiara
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Editor: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs!

Autores: Giada Stivala; Sahar Abdelnabi; Andrea Mengascini; Mariano Graziano; Mario Fritz; Giancarlo Pellegrino
Publicado en: ACSAC '23: Proceedings of the 39th Annual Computer Security Applications Conference
Editor: ACSAC 23
DOI: 10.48550/ARXIV.2308.01273

Multitask Learning with No Regret: From Improved Confidence Bounds to Active Learning

Autores: Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Publicado en: Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023
Editor: Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

Learning to Receive Help: Intervention-Aware Concept Embedding Models

Autores: Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Publicado en: Neural Information Processing Systems
Editor: NeurIPS, 2023
DOI: 10.48550/ARXIV.2309.16928

Is Mamba Capable of In-Context Learning?

Autores: Riccardo Grazzi, Julien Niklas Siems, Simon Schrodi, Thomas Brox, Frank Hutter
Publicado en: AutoML24
Editor: AutoML24
DOI: 10.48550/ARXIV.2402.03170

Harms from Increasingly Agentic Algorithmic Systems

Autores: Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj
Publicado en: 2023 ACM Conference on Fairness Accountability and Transparency, 2025
Editor: ACM
DOI: 10.1145/3593013.3594033

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

Autores: Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
Publicado en: ISSN 2307-15475
Editor: ACM
DOI: 10.48550/ARXIV.2307.15475

Unmasking Anomalies in Road-Scene Segmentation

Autores: Shyam Nandan Rai , Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo
Publicado en: IEEE Internationa Conference on Computer Vision (ICCV) 2023, 2023
Editor: ICCV
DOI: 10.1109/ICCV51070.2023.00373

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Autores: Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
Publicado en: USENIX Security Symposium (USENIX Security), 2022
Editor: USENIX
DOI: 10.48550/ARXIV.2102.02551

Certified Robust Models with Slack Control and Large Lipschitz Constants Proceedings Article

Autores: Max Losch, David Stutz, Bernt Schiele, Mario Fritz
Publicado en: DAGM German Conference on Pattern Recognition (GCPR), 2023.
Editor: DAGM
DOI: 10.48550/ARXIV.2309.06166

Safety is Essential for Responsible Open-Ended Systems

Autores: Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz
Editor: ICLR2025
DOI: 10.48550/ARXIV.2502.04512

Improving Fairness via Intrinsic Plasticity in Echo State Networks

Autores: Ceni, A. and Bacciu, D. and De Caro, V. and Gallicchio, C. and Oneto, L.
Publicado en: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2023, ISBN 978-2-87587-088-9
Editor: ESANN
DOI: 10.14428/esann/2023.ES2023-90

Towards interpretable-by-design deep learning algorithms

Autores: Plamen Angelov, Dmitry Kangin, Ziyang Zhang
Publicado en: UNDER REVIEW, ISSN 2311-11396
Editor: N/A
DOI: 10.48550/ARXIV.2311.11396

FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection (CWZS24)

Autores: Jialuo Chen, Jingyi Wang, Xiyue Zhang, Youcheng Sun, Marta Kwiatkowska, Jiming Chen, Peng Cheng
Publicado en: 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)., 2024
Editor: IEEE
DOI: 10.48550/ARXIV.2409.09130

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction.

Autores: S. Kumar, R. Marjieh, B. Zhang, D. Campbell, M. Hu, U. Bhatt, B. Lake and T. Griffiths.
Publicado en: Conference of the Cognitive Science Society (CogSci) 2024
Editor: CogSci 2024
DOI: 10.48550/ARXIV.2402.03618

Collaborative Learning via Prediction Consensus

Autores: Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Publicado en: ISSN 2305-18497
Editor: NeurIPS
DOI: 10.48550/ARXIV.2305.18497

DRCFS: Doubly Robust Causal Feature Selection

Autores: Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
Publicado en: ICML 2023: Fortieth International Conference on Machine Learning, 2023
Editor: JMLR.org
DOI: 10.48550/arXiv.2306.07024

Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources

Autores: Rebecca Weil; Sahar Abdelnabi; Mario Fritz; Rakibul Hasan
Publicado en: European Symposium on Security and Privacy Workshops
Editor: EuroS&PW
DOI: 10.1109/EUROSPW61312.2024.00062

Learning Personalized Decision Support Policies

Autores: Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
Publicado en: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence
Editor: AAAI 2025
DOI: 10.48550/ARXIV.2304.06701

LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs

Autores: Volker Strobel, Marco Dorigo, Mario Fritz
Publicado en: NeurIPS 2024 Workshop on Open-World Agents
Editor: NeurIPS 2024
DOI: 10.48550/ARXIV.2410.11387

Data Drift in Android Malware Detection

Autores: Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio
Publicado en: 2024 International Conference on Machine Learning and Cybernetics (ICMLC), 2025
Editor: IEEE
DOI: 10.1109/ICMLC63072.2024.10935015

Adversarial Attacks Against Uncertainty Quantification

Autores: Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli;
Publicado en: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023
Editor: ICCV
DOI: 10.48550/ARXIV.2309.10586

LLMs on interactive feature collections with implicit dynamic decision strategy

Autores: Juyeon Heo, Vihari Piratla, Kyunghyun Lee, Hyonkeun Joh, Adrian Weller
Publicado en: Proceedings of the 31st International Conference on Computational Linguistics
Editor: International Conference on Computational Linguistics

The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement

Autores: Gabriele Trivigno; Carlo Masone; Barbara Caputo; Torsten Sattler
Publicado en: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Editor: IEEE
DOI: 10.48550/ARXIV.2404.10438

Modulating Language Model Experiences through Frictions

Autores: Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
Publicado en: Neural Information Processing Systems (NeurIPS 2024) Workshop on Behavioral Machine Learning
Editor: Neural Information Processing Systems (NeurIPS 2024) Workshop on Behavioral Machine Learning
DOI: 10.48550/ARXIV.2407.12804

ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification, I

Autores: A Lopez Pellicer, A Mariucci, P Angelov, M Bukhari, JG Kerns
Publicado en: ICCV 2025
Editor: ICCV 2025

"""Reliability in Semantic Segmentation: Can We Use Synthetic Data? """

Autores: Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
Publicado en: European Conference on Computer Vision (ECCV) 2024, 2024
Editor: European Conference on Computer Vision (ECCV) 2024
DOI: 10.48550/ARXIV.2312.09231

Multitask Online Learning: Listen to the Neighborhood Buzz

Autores: Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Publicado en: Artificial Intelligence and Statistics 2024, ISSN 2310-17385
Editor: PMLR Conference Proceedings
DOI: 10.48550/ARXIV.2310.17385

Fuzzy Detectors Against Adversarial Attacks

Autores: Y. Li, P. Angelov, N. Suri
Publicado en: IEEE Symposium Series on Computational Intelligence, 2023
Editor: IEEE Symposium Series on Computational Intelligence

Efficient Certified Training and Robustness Verification of Neural ODEs

Autores: Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer, Martin Vechev
Publicado en: ICLR, ISSN 2303-05246
Editor: ICLR

Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks

Autores: Sanne van Waveren, Christian Pek , Iolanda Leite, Jana Tumova, Danica Kragic
Publicado en: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ISSN 2023-0816
Editor: IEEE
DOI: 10.1109/IROS55552.2023.10341369

Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection

Autores: Lorenzo Li Lu, Giulia D’Ascenzi, Francesco Cappio Borlino & Tatiana Tommasi
Publicado en: International Conference on Image Analysis and Processing (ICIAP) 2023, ISBN 978-3-031-43153-1
Editor: ICIAP
DOI: 10.1007/978-3-031-43153-1_25

Explainable Audio-Visual Representation Learning via Prototypical Contrastive Masked Autoencoder

Autores: Y. Li, P. Angelov
Publicado en: Advances in neural information processing systems
Editor: Advances in neural information processing systems

Towards Biologically Plausible and Private Gene Expression Data Generation Proceedings Article

Autores: Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
Publicado en: The 24th Privacy Enhancing Technologies Symposium, 2024.
Editor: Privacy Enhancing Technologies Symposium
DOI: 10.48550/ARXIV.2402.04912

EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography

Autores: Gabriele Berton, Gabriele Goletto, Gabriele Trivigno, Alex Stoken, Barbara Caputo, Carlo Masone
Publicado en: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Editor: IEEE
DOI: 10.1109/CVPRW63382.2024.00430

Towards More Robust Interpretation via Local Gradient Alignment

Autores: S. Joo, S. Jeong, J. Heo, A. Weller and T. Moon.
Publicado en: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence
Editor: AAAI 2023
DOI: 10.1609/AAAI.V37I7.25986

Establishing the Price of Privacy in Federated Data Trading

Autores: Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Publicado en: ISSN 2111-15415
Editor: PLS
DOI: 10.48550/ARXIV.2111.15415

Federated Document Visual Question Answering: A Pilot Study

Autores: Khanh Nguyen, Dimosthenis Karatzas
Publicado en: ICDAR 2024
Editor: ICDAR 2024
DOI: 10.48550/ARXIV.2405.06636

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations

Autores: Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Publicado en: STOC 2024 - 56th ACM Symposium on Theory of Computing, ISSN 2307-09478
Editor: ACM Press
DOI: 10.1145/3618260.3649658

Certification of Distributional Individual Fairness

Autores: M. Wicker, V. Piratla and A. Weller.
Publicado en: Neural Information Processing Systems (NeurIPS), 2023.
Editor: NeurIPS 2023
DOI: 10.48550/ARXIV.2311.11911

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Autores: Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
Publicado en: ICLR 2025
Editor: ICLR 2025

Poster: Protection against Source Inference Attacks in Federated Learning using Unary Encoding and Shuffling

Autores: Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
Publicado en: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2025
Editor: ACM
DOI: 10.1145/3658644.3691411

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

Autores: Dmitry Kangin, Plamen Angelov
Publicado en: 2nd Workshop on Workshop on Mathematical and Empirical Understanding of Foundation Models
Editor: ICLR-2024
DOI: 10.48550/ARXIV.2402.14976FOCUSTOLEARNMORE

Confidential-PROFITT: Confidential PROof of FaIr Training of Trees

Autores: Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
Publicado en: The Eleventh International Conference on Learning Representations
Editor: Conference on Learning Representations

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models

Autores: Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz
Publicado en: 2nd IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2024
Editor: SATML
DOI: 10.48550/ARXIV.2302.04012

Evaluating the Evaluators: Trust in Adversarial Robustness Tests

Autores: Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
Editor: Ital-IA

Cybersecurity and AI: The PRALab Research Experience

Autores: Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli
Publicado en: 3rd National Conference on Artificial Intelligence, 2023
Editor: National Conference on Artificial Intelligence

Machine learning within latent spaces formed by foundation models

Autores: B Tomczyk, P Angelov, D Kangin
Publicado en: 2024 IEEE 12th International Conference on Intelligent Systems (IS), ISSN 2767-9802
Editor: IEEE

Large Language Models Must Be Taught What They Don’t know

Autores: Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Publicado en: Conference on Neural Information Processing Systems (NeurIPS 2024).
Editor: NeurIPS 2024
DOI: 10.48550/ARXIV.2406.08391

CoTFormer: More Tokens With Attention Make Up For Less Depth

Autores: Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
Publicado en: ISSN 2310-10845
Editor: NeurIPS
DOI: 10.48550/ARXIV.2310.10845

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Autores: Sara Sarto, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Editor: CVPR
DOI: 10.48550/ARXIV.2303.12112

Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss,

Autores: A Aghasanli, Y Li, P Angelov,
Publicado en: Proceedings of the Computer Vision and Pattern Recognition Conference
Editor: Computer Vision Foundation

A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets

Autores: Ossi Räisä, Antti Honkela
Publicado en: AISTATS 2025, 2025
Editor: AISTATS 2025
DOI: 10.48550/ARXIV.2402.03985

Adapt to Scarcity: Few-Shot Deepfake Detection via Low-Rank Adaptation

Autores: Silvia Cappelletti, Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Publicado en: Lecture Notes in Computer Science, Pattern Recognition, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78305-0_8

Expressivity of ReLU-Networks under Convex Relaxations

Autores: Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin Vechev
Publicado en: ICLR'24, 2023
Editor: ICLR
DOI: 10.48550/arXiv.2311.04015

Actsafe: Active exploration with safety constraints for reinforcement learning

Autores: As, Yarden and Sukhija, Bhavya and Treven, Lenart and Sferrazza, Carmelo and Coros, Stelian and Krause, Andreas
Publicado en: ICLR 2025
Editor: ICLR 2025

Adversarial Causal Bayesian Optimization

Autores: S. Sussex, P. G. Sessa, A. Makarova, A. Krause
Publicado en: International Conference on Learning Representations (ICLR), 2023
Editor: ICLR
DOI: 10.48550/arXiv.2307.16625

Pixel-level Certified Explanations via Randomized Smoothing

Autores: Alaa Anani, Tobias Lorenz, Mario Frityz, Bernt Schiele
Editor: International Conference on Machine Learning (ICML)

Hypothesizing Missing Causal Variables with LLMs

Autores: Ivaxi Sheth; Sahar Abdelnabi; Mario Fritz
Publicado en: NeurIPS 2024 Workshop on Causality and Large Models (CaLM).
Editor: NeurIPS 2024 Workshop on Causality and Large Models (CaLM).
DOI: 10.48550/ARXIV.2409.02604

STEP - Towards Structured Scene-Text Spotting

Autores: Sergi Garcia-Bordils, Dimosthenis Karatzas, Marçal Rusiñol
Publicado en: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024, ISSN 2309-02356
Editor: IEEE Xplore
DOI: 10.1109/WACV57701.2024.00093

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Autores: Edoardo Debenedetti; Javier Rando; Daniel Paleka; Fineas Silaghi; Dragos Albastroiu; Niv Cohen; Yuval Lemberg; Reshmi Ghosh; Rui Wen; Ahmed Salem; Giovanni Cherubin;
Publicado en: 2024
Editor: NeurIPS
DOI: 10.48550/ARXIV.2406.07954

Certifiers Make Neural Networks Vulnerable to Availability Attacks

Autores: Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Publicado en: 16th ACM Workshop on Artificial Intelligence and Security (AISec 2023, ISSN 2300-5963
Editor: Association for Computing Machinery
DOI: 10.48550/ARXIV.2108.11299

Irreducible Curriculum for Language Model Pretraining

Autores: Simin Fan, Martin Jaggi
Publicado en: ISSN 2310-15389
Editor: NeurIPS
DOI: 10.48550/ARXIV.2310.15389

How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations

Autores: Siddhartha Gairola, Moritz Böhle, Francesco Locatello, and Bernt Schiele
Publicado en: International Conference on Learning Representations
Editor: International Conference on Learning Representations

AI Security and Safety: The PRALab Research Experience

Autores: Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio and Fabio Roli
Publicado en: Ital-IA 2023
Editor: Ital-IA 2023

Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning

Autores: Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Publicado en: IEEE CVPR 2024, 2024
Editor: IEEE CVPR 2024

Iterative Teaching by Data Hallucination

Autores: Z. Qiu, W. Liu, T. Xiao, Z. Liu, U. Bhatt, Y. Luo, A. Weller and B. Schölkopf.
Publicado en: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
Editor: AISTATS 2023
DOI: 10.48550/ARXIV.2210.17467

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention

Autores: Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
Publicado en: ISSN 2306-01160
Editor: NeurIPS
DOI: 10.48550/ARXIV.2306.01160

Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation

Autores: Federico Betti, Jacopo Staiano, Lorenzo Baraldi, Lorenzo Baraldi, Rita Cucchiara, Nicu Sebe
Editor: ACM MM
DOI: 10.48550/ARXIV.2307.09416

Certified Training: Small Boxes are All You Need

Autores: Mark Niklas Müller, Franziska Eckert, Marc Fischer, Martin Vechev
Publicado en: ICLR (Spotlight), ISSN 2210-04871
Editor: ICLR
DOI: 10.48550/ARXIV.2210.04871

Private Set Generation with Discriminative Information

Autores: Dingfan Chen, Raouf Kerkouche, Mario Fritz
Publicado en: Neural Information Processing Systems (NeurIPS), 2022
Editor: NeurIPS
DOI: 10.48550/ARXIV.2211.04446

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Autores: Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
Publicado en: USENIX Security Symposium (USENIX), 2024
Editor: USENIX
DOI: 10.5555/3698900.3699117

Robust Self-Supervised Learning for Adversarial Attack Detection

Autores: Y. Li, P. Angelov, N. Suri
Publicado en: Advances in neural information processing systems
Editor: Advances in neural information processing systems

Noise-Aware Differentially Private Variational Inference

Autores: Talal Alrawajfeh, Joonas Jälkö, Antti Honkela
Publicado en: AISTATS 2025, 2025
Editor: AISTATS 2025
DOI: 10.48550/ARXIV.2410.19371

Mitigating Unfair Regression in Machine Learning Model Updates

Autores: Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto
Publicado en: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Editor: IEEE
DOI: 10.1109/ICMLA61862.2024.00289

A Simple Recipe for Language-guided Domain Generalized Segmentation

Autores: Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
Publicado en: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024, ISSN 2311-17922
Editor: IEEE/CVF
DOI: 10.48550/arXiv.2311.17922

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation

Autores: Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
Publicado en: International Conference on Computer Vision, ICCV 2025
Editor: International Conference on Computer Vision, ICCV 2025

When to Trust AI: Advances and Challenges for Certification of Neural Networks

Autores: Marta Kwiatkowska, Xiyue Zhang
Publicado en: Proceedings of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), ISSN 2309-11196
Editor: Polish Information Processing Society

Geometric Multimodal Contrastive Representation Learning

Autores: Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
Editor: ICML 22

Learning Safety Constraints for Large Language Models

Autores: Xin Chen and Yarden As and Andreas Krause
Publicado en: ICML 2025
Editor: ICML 2025

Vision-Based Landing Guidance Through Tracking and Orientation Estimation

Autores: João P. K. Ferreira, João P. Pinto, Júlia Moura, Yi Li, Cristiano L. Castro, Plamen Angelov
Publicado en: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Editor: IEEE
DOI: 10.1109/WACV61041.2025.00937

Synthcap: Augmenting transformers with synthetic data for image captioning

Autores: Caffagni, D., Barraco, M., Cornia, M., Baraldi, L., Cucchiara, R
Publicado en: International Conference on Image Analysis and Processing (ICIAP), 2023
Editor: Springer, Cham
DOI: 10.1007/978-3-031-43148-7_10

Efficient Robustness Verification of Neural Ordinary Differential Equations

Autores: Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer, Martin Vechev
Publicado en: The Symbiosis of Deep Learning and Differential Equations II
Editor: The Symbiosis of Deep Learning and Differential Equations II

Puppeteer your robot: Augmented reality leader-follower teleoperation

Autores: Jonne Van Haastregt, Michael C Welle, Yuchong Zhang, Danica Kragic
Publicado en: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids)
Editor: IEEE
DOI: 10.48550/ARXIV.2407.11741

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Autores: Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert
Publicado en: ICLR 2024 Workshop on Secure and Trustworthy Large Language Models
Editor: ICLR
DOI: 10.48550/ARXIV.2403.06833

Learning Decision Policies with Instrumental Variables through Double Machine Learning

Autores: Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska
Publicado en: Forty-first International Conference on Machine Learning
Editor: ICML 2024

Stealthy imitation: reward-guided environment-free policy stealing

Autores: Zhixiong Zhuang; Maria-Irina Nicolae; Mario Fritz
Publicado en: ICML'24: Proceedings of the 41st International Conference on Machine Learning
Editor: ICML'24: Proceedings of the 41st International Conference on Machine Learning
DOI: 10.5555/3692070.3694664

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments.

Autores: Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
Publicado en: ACM Conference on Fairness, Accountability and Transparency (FAccT), 2023.
Editor: ACM Digital Library
DOI: 10.1145/3593013.3594099

PØDA: Prompt-driven Zero-shot Domain Adaptation

Autores: Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
Publicado en: IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2023
Editor: IEEE/CVF
DOI: 10.1109/ICCV51070.2023.01707

TAPS: Connecting Certified and Adversarial Training

Autores: Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin Vechev
Publicado en: NeurIPS'23
Editor: NeurIPS'23
DOI: 10.48550/ARXIV.2305.04574

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Autores: Riccardo Grazzi; Saverio Salzo; Massimiliano Pontil
Publicado en: Journal Of Machine Learning Research, 2024, ISSN 2403-11687
Editor: Journal Of Machine Learning Research
DOI: 10.48550/arXiv.2403.11687

Lost in translation: the troubling logics underpinning the embrace of governmental machine-learning based prediction tools for ‘citizen scoring’

Autores: Karen Yeung
Publicado en: Global Governance by Data
Editor: Cambridge University Press
DOI: 10.2139/SSRN.4651480

Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Autores: Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
Publicado en: NeurIPS - Datasets and Benchmarks'24
Editor: NeurIPS - Datasets and Benchmarks'24
DOI: 10.48550/ARXIV.2309.17234

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Autores: Moritz Böhle, Mario Fritz, Bernt Schiele
Publicado en: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7625–7638, 2023.
Editor: TPAMI
DOI: 10.48550/ARXIV.2109.13004

An Empirical Study of Over-Parameterized Neural Models based on Graph Random Features

Autores: Navarin, N. and Pasa, L. and Oneto, L. and Sperduti, A.
Publicado en: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), ISBN 978-2-87587-088-9
Editor: ESANN
DOI: 10.14428/ESANN/2023.ES2023-145

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Autores: Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K.H. Franke, Frank Hutter, Massimiliano Pontil.
Publicado en: Proceedings of the International Conference on Learning Representations, 2025
Editor: ICLR 2025

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems Proceedings Article

Autores: Sahar Abdelnabi, Mario Fritz
Publicado en: USENIX Security Symposium (USENIX Security)}, 2023
Editor: USENIX
DOI: 10.48550/ARXIV.2209.03755

Interpretable-through-prototypes deepfake detection for diffusion models

Autores: Agil Aghasanli; Dmitry Kangin; Plamen Angelov
Publicado en: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), ISSN 2473-9944
Editor: IEEE
DOI: 10.1109/ICCVW60793.2023.00053

Tight Differential Privacy Guarantees for the Shuffle Model with k-Randomized Response

Autores: Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Publicado en: ISSN 2205-08858
Editor: Foundations & Practice of Security Symposium, FPS 2023.
DOI: 10.1007/978-3-031-57537-2_27

Understanding Certified Training with Interval Bound Propagation

Autores: Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin Vechev
Publicado en: ICLR, ISSN 2306-10426
Editor: ICLR
DOI: 10.48550/ARXIV.2306.10426

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

Autores: Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
Publicado en: ISSN 2304-00500
Editor: UNDER REVIEW ACM TOMM
DOI: 10.48550/ARXIV.2304.00500

Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery

Autores: Yi Li, Plamen Angelov, Neeraj Suri
Publicado en: ISSN 2161-4393
Editor: IJCNN 2024
DOI: 10.1109/IJCNN60899.2024.10650687

Machine Unlearning for Document Classification

Autores: Lei Kang, Mohamed Ali Souibgui, Fei Yang, Lluis Gomez, Ernest Valveny, Dimosthenis Karatzas
Publicado en: ICDAR 2024
Editor: ICDAR 2024
DOI: 10.48550/ARXIV.2404.19031

FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions

Autores: Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite
Publicado en: 2025 International Conference on Robotics and Automation, 2025
Editor: IEEE

Cooperative online learning with feedback graphs

Autores: Nicolò Cesa-Bianchi, Tommaso Cesari, and Riccardo Della Vecchia
Publicado en: Transactions on Machine Learning Research (06/2024), 2024
Editor: Transactions on Machine Learning Research (06/2024)

On the informativeness of supervision signals

Autores: Ilia Sucholutsky, Ruairidh M. Battleday, Katherine M. Collins, Raja Marjieh, Joshua Peterson, Pulkit Singh, Umang Bhatt, Nori Jacoby, Adrian Weller, Thomas L. Griffiths
Publicado en: roceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence,, ISSN 2036-2046
Editor: PMLR

Robust Meta-Representation Learning via Global Label Inference and Classification

Autores: Ruohan Wang, Isak Falk, Massimiliano Pontil, Carlo Ciliberto
Publicado en: 2023
Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/TPAMI.2023.3328184

Noise-Aware Statistical Inference with Differentially Private Synthetic Data

Autores: Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
Publicado en: PMLR, ISSN 2205-14485
Editor: PMLR

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models

Autores: Hossein Hajipour; Ning Yu; Cristian-Alexandru Staicu; Mario Fritz
Publicado en: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
Editor: NAACL
DOI: 10.18653/V1/2024.FINDINGS-NAACL.90

PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection

Autores: A. L. Pellicer, Y. Li, P. Angelov
Publicado en: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)
Editor: IEEE

Fast Feature Selection with Fairness Constraints

Autores: Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel Waddington, Tobias Friedrich and Michael W. Mahoney
Publicado en: 2nd Workshop on Formal Verification of Machine Learning (WFVML 2023), ISSN 2202-13718
Editor: PMLR
DOI: 10.48550/ARXIV.2202.13718

Adversarial Robustness Certification for Bayesian Neural Networks

Autores: Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska
Publicado en: Lecture Notes in Computer Science
Editor: Lecture Notes in Computer Science
DOI: 10.1007/978-3-031-71162-6_1

Use perturbations when learning from explanations

Autores: Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Editor: NEURIPS

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Autores: Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
Editor: To appear at PETS’24
DOI: 10.48550/ARXIV.2302.01068

Efficient Model Editing with Task-Localized Sparse Fine-tuning

Autores: Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Publicado en: International Conference on Learning Representations
Editor: International Conference on Learning Representations

Multi-Page Document Visual Question Answering using Self-Attention Scoring Mechanism

Autores: Lei Kang, Rubèn Tito, Ernest Valveny, Dimosthenis Karatzas
Publicado en: ICDAR 2024
Editor: ICDAR 2024
DOI: 10.48550/ARXIV.2404.19024

Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

Autores: Y. Li, Y. Sun, P. Angelov
Publicado en: AAAI Conference on Artificial Intelligence
Editor: AAAI Conference on Artificial Intelligence
DOI: 10.48550/ARXIV.2412.08856

Imitation or Innovation? Translating Features of Expressive Motion from Humans to Robots

Autores: Benedikte Wallace, Marieke van Otterdijk, Yuchong Zhang, Nona Rajabi, Diego Marin-Bucio, Danica Kragic, Jim Torresen
Publicado en: Proceedings of the 12th International Conference on Human-Agent Interaction, 2025
Editor: ACM
DOI: 10.1145/3687272.3688302

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

Autores: Hui-Po Wang; Mario Fritz
Publicado en: 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Editor: NeurIPS 2024
DOI: 10.48550/ARXIV.2409.17836

Mitigating Robustness Bias: Theoretical Results and Empirical Evidences

Autores: Franco, D. and Oneto, L. and Anguita, D.
Publicado en: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2023, ISBN 978-2-87587-088-9
Editor: ESANN
DOI: 10.14428/esann/2023.ES2023-30

Lecture Notes in Computer Science

Autores: Xiyue Zhang, Benjie Wang, Marta Kwiatkowska
Publicado en: TACAS 2024, 30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 2024, ISSN 0302-9743
Editor: Springer
DOI: 10.48550/arXiv.2305.03686

Confidential-DPproof: Confidential Proof of Differentially Private Training

Autores: Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
Publicado en: International 12th Conference on Learning Representations
Editor: International Conference on Learning Representations

Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement

Autores: Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluis Gomez, Dimosthenis Karatzas
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, Edición 37, 2023, ISSN 2374-3468
Editor: Association for the Advancement of Artificial Intelligence (AAAI)
DOI: 10.1609/AAAI.V37I2.25328

Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection Proceedings Article

Autores: Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
Publicado en: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023
Editor: ACM
DOI: 10.48550/ARXIV.2302.12173

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Autores: Gianni Franchi, Olivier Laurent, Maxence Leguéry, Andrei Bursuc, Andrea Pilzer, Angela Yao
Publicado en: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024, ISSN 2312-15297
Editor: IEEE/CVF
DOI: 10.48550/arXiv.2312.15297

Human-centered AI Technologies in Human-robot Interaction for Social Settings

Autores: Yuchong Zhang, Khaled Kassem, Zhengya Gong, Fan Mo, Yong Ma, Emma Kirjavainen, Jonna Häkkilä
Publicado en: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, 2025
Editor: ACM
DOI: 10.1145/3701571.3701610

DoGE: Domain Reweighting with Generalization Estimation

Autores: Simin Fan, Matteo Pagliardini, Martin Jaggi
Publicado en: ISSN 2310-15393
Editor: NeurIPS
DOI: 10.48550/ARXIV.2310.15393

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Autores: Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
Publicado en: International Conference on Learning Representations (ICLR), 2024
Editor: ICLR 2024

Get my drift? Catching LLM Task Drift with Activation Deltas

Autores: Sahar Abdelnabi; Aideen Fay; Giovanni Cherubin; Ahmed Salem; Mario Fritz; Andrew Paverd
Publicado en: IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , 2025.
Editor: SaTML 2025
DOI: 10.48550/ARXIV.2406.00799

Group Meritocratic Fairness in Linear Contextual Bandits

Autores: Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
Publicado en: NeurIPS 2022
Editor: NeurIPS 2022
DOI: 10.48550/ARXIV.2206.03150

ModSec-Learn: Boosting ModSecurity with Machine Learning

Autores: Christian Scano, Giuseppe Floris, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio
Publicado en: Lecture Notes in Networks and Systems, Distributed Computing and Artificial Intelligence, Special Sessions I, 21st International Conference, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-76459-2_3

DocVXQA: Context-Aware Visual Explanations for Document Question Answering

Autores: Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
Publicado en: International Conference on Machine Learning
Editor: International Conference on Machine Learning

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

Autores: Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
Publicado en: ICLR 2025
Editor: ICLR 2025

Privacy-Aware Document Visual Question Answering

Autores: Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Gangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurelie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz and Dimosthenis Karatzas
Publicado en: 18th International Conference on Document Analysis and Recognition, ICDAR 2024
Editor: ICDAR 2024
DOI: 10.48550/ARXIV.2312.10108

Landmark Attention: Random-Access Infinite Context Length for Transformers

Autores: Amirkeivan Mohtashami, Martin Jaggi
Publicado en: ISSN 2305-16300
Editor: NeurIPS
DOI: 10.48550/ARXIV.2305.16300

CoBo: Collaborative Learning via Bilevel Optimization

Autores: Diba Hashemi, Lie He, Martin Jaggi
Publicado en: NeurIPS 2024
Editor: NeurIPS 2024

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

Autores: Akash Gupta; Ivaxi Sheth; Vyas Raina; Mark Gales; Mario Fritz
Publicado en: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Editor: Conference on Empirical Methods in Natural Language Processing
DOI: 10.48550/ARXIV.2402.18216

Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead

Autores: Niccolò Cavagnero; Fernando Dos Santos; Marco Ciccone; Giuseppe Averta; Tatiana Tommasi; Paolo Rech
Publicado en: 2022 IEEE 28th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2022
Editor: IOLTS
DOI: 10.1109/IOLTS56730.2022.9897813

LFPD: Local-Feature-Powered Defense Against Adaptive Backdoor Attacks

Autores: Wei Guo, Ambra Demontis, Maura Plntor, Patrick P.K. Chan, Battista Biggio
Publicado en: 2024 International Conference on Machine Learning and Cybernetics (ICMLC), 2025
Editor: IEEE
DOI: 10.1109/ICMLC63072.2024.10935153

Learning to Generate Training Datasets for Robust Semantic Segmentation

Autores: Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
Publicado en: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
Editor: IEEE/CVF
DOI: 10.48550/ARXIV.2308.02535

Multi-task representation learning with stochastic linear bandits

Autores: Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil
Publicado en: AISTATS 2023
Editor: AISTATS 2023

Accelerating Transformer-Based Scene Text Detection and Recognition via Token Pruning

Autores: S, Garcia-Bordils, D. Karatzas, M. Rusiñol
Publicado en: Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, ISBN 978-3-031-41731-3
Editor: Springer Cham
DOI: 10.1007/978-3-031-41731-3_7

Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis

Autores: Cocchi, Federico; Baraldi, Lorenzo; Poppi, Samuele; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Publicado en: Proceedings of the 22nd International Conference on Image Analysis and Processing, ISBN 978-3-031-43152-4
Editor: Springer-Verlag
DOI: 10.1007/978-3-031-43153-1_29

CausalGraph2LLM: Evaluating LLMs for Causal Queries

Autores: Ivaxi Sheth, Bahare Fatemi, Mario Fritz
Publicado en: NAACL'25
Editor: NAACL'25

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA

Autores: Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie JOSEPH, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kent
Publicado en: NEURIPS 2024
Editor: NEURIPS 2024
DOI: 10.48550/ARXIV.2411.03730

Robustness Guarantees for Bayesian Neural Networks

Autores: Marta Kwiatkowska
Publicado en: Proc. 19th International Conference on Quantitative Evaluation of SysTems (QEST 2022), ISSN 1611-3349
Editor: Springer
DOI: 10.1007/978-3-031-16336-4

Private and Collaborative Kaplan-Meier Estimators

Autores: Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
Editor: ArXiv
DOI: 10.48550/ARXIV.2305.15359

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Autores: S.S. Ramesh, P. G. Sessa, Y. Hu, A. Krause, I. Bogunovic
Publicado en: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Editor: AISTATS
DOI: 10.48550/arXiv.2309.02236

"MargCTGAN: A ""Marginally"" Better CTGAN for the Low Sample Regime"

Autores: Tejumade Afonja, Dingfan Chen, Mario Fritz
Editor: GCPR’23
DOI: 10.60882/CISPA.25233076

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention

Autores: Matteo Pagliardini ~Matteo_Pagliardini1 , Daniele Paliotta, Martin Jaggi, François Fleuret
Editor: NEURIPS 2023

Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation

Autores: Ossi Räisä, Joonas Jälkö, Antti Honkela
Editor: ICML 2024

On the Efficacy of Differentially Private Few-shot Image Classification

Autores: Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
Publicado en: TMLR 2023, ISSN 2302-01190
Editor: TMLR 2023

3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds

Autores: Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
Publicado en: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets and Benchmarks Track, 2022, ISBN 9781713871088
Editor: NeurIPS 2022

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks (LKF24)

Autores: Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Publicado en: The German Conference on Pattern Recognition (GCPR)
Editor: The German Conference on Pattern Recognition (GCPR)
DOI: 10.1007/978-3-031-85181-0_5

Hyperparameters in Score-Based Membership Inference Attacks

Autores: Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela
Publicado en: SaTML 2025, 2025
Editor: SaTML 2025
DOI: 10.48550/ARXIV.2502.06374

The BRAVO Semantic Segmentation Challenge Results in UNCV2024

Autores: Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomáš Vojíř, Jan Šochman, Jiří Matas, Michael Smith, Frank Ferrie, Shamik Basu, Christos Sakaridis, L
Publicado en: European Conference on Computer Vision (ECCV) 2024, 2024
Editor: European Conference on Computer Vision (ECCV) 2024
DOI: 10.48550/ARXIV.2409.15107

Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots

Autores: Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta
Publicado en: IEEE Internationa Conference on Intelligent Robots and Systems (IROS) 2023, 2023
Editor: IROS

1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis

Autores: Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji, Eniola Alese, Babatunde Oladimeji, Tejumade Afonja, Kayode Olaleye, Naome A. Etori, Tosin Adewumi
Publicado en: Biomedical Research in Artificial Intelligence and Machine Perception
Editor: Interspeech 2024
DOI: 10.48550/ARXIV.2406.11727

TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks

Autores: Brau, Fabio; Pintor, Maura; Cinà, Antonio Emanuele; Mura, Raffaele; Scionis, Luca; Oneto, Luca; Roli, Fabio; Biggio,Battista
Publicado en: The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2025
Editor: OpenReview.net

Noise-Aware Differentially Private Regression via Meta-Learning

Autores: Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Publicado en: NeurIPS 2024
Editor: NeurIPS 2024

Less is More? An Ablation Study on AutoAttack for Adversarial Robustness Evaluation

Autores: Luca Melis, Luca Scionis, Fabio Brau, Maura Pintor, Battista Biggio
Editor: ICML

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

Autores: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Publicado en: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) , 2022
Editor: Curran Associates, Inc.
DOI: 10.48550/ARXIV.2106.09947

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment

Autores: Yaling Shen; Zhixiong Zhuang; Kun Yuang; Maria-Irina Nicolae; Nassir Navab; Nicolas Padoy; Mario Fritz
Editor: AAAI 2025
DOI: 10.48550/ARXIV.2502.02438

Robust Explanation Constraints for Neural Networks

Autores: Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
Publicado en: International Conference on Learning Representations (ICLR), 2023.
Editor: ICLR 2023
DOI: 10.48550/ARXIV.2212.08507

Show, Interpret and Tell: Entity-Aware Contextualised Image Captioning in Wikipedia

Autores: K. Nguyen, A. Biten, A. Mafla, L. Gomez, D. Karatzas
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, ISSN 2159-5399
Editor: PKP PS
DOI: 10.1609/AAAI.V37I2.25285

Learning Counterfactually Invariant Predictors

Autores: Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Yucen Luo, Niki Kilbertus
Publicado en: 2nd Workshop on Formal Verification of Machine Learning (WFVML 2023), 2023, ISSN 2207-09768
Editor: arXiv
DOI: 10.48550/arXiv.2207.09768

On Adversarial Training without Perturbing All Examples Proceedings Article

Autores: Max Losch; Mohamed Omran; David Stutz; Mario Fritz; Bernt Schiele
Publicado en: The Twelfth International Conference on Learning Representations (ICLR), 2024
Editor: OpenReview

Towards Randomized Algorithms and Models that We Can Trust: a Theoretical Perspective

Autores: Oneto, L. and Ridella, S. and Anguita, D.
Publicado en: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), ISBN 978-2-87587-088-9
Editor: ESANN
DOI: 10.14428/ESANN/2023.ES2023-29

Fairness Without Demographic Data: A Survey of Approaches

Autores: Carolyn Ashurst, Adrian Weller
Publicado en: Equity and Access in Algorithms, Mechanisms, and Optimization, 2025
Editor: ACM
DOI: 10.1145/3617694.3623234

Human-in-the-Loop Mixup

Autores: Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley Love, Adrian Weller
Publicado en: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence
Editor: PMLR

Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres

Autores: Kacper Wyrwal, Viacheslav Borovitskiy
Publicado en: ICLR 2025
Editor: ICLR 2025

Fair Empirical Risk Minimization Revised

Autores: Franco, D. and Oneto, L. and Anguita, D.
Publicado en: International Work-Conference on Artificial and Natural Neural Networks (IWANN), 2023, ISBN 978-3-031-43084-8
Editor: Springer, Cham
DOI: 10.1007/978-3-031-43085-5_3

Tight Accounting in the Shuffle Model of Differential Privacy

Autores: Antti Koskela, Mikko A. Heikkilä ~Mikko_A._Heikkilä1 , Antti Honkela
Editor: TMLR 2023

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics

Autores: Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
Publicado en: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
Editor: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
DOI: 10.48550/ARXIV.2404.04722

EarthLoc: Astronaut Photography Localization by Indexing Earth from Space

Autores: Gabriele Berton, Alex Stoken, Barbara Caputo, Carlo Masone
Publicado en: CVPR 2024
Editor: CVPR 2024
DOI: 10.48550/ARXIV.2403.06758

Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics

Autores: Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Publicado en: International Conference on Human-Computer Interaction (HCII) 2024, 2024
Editor: Springer
DOI: 10.48550/ARXIV.2403.18616

Edge Implementation of Unsupervised Self-evolving Vision Classifier

Autores: P. Angelov, A. Aghasanli
Publicado en: IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024, 2024
Editor: IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024
DOI: 10.1109/EAIS58494.2024.10570024

Multiplication-Free Transformer Training via Piecewise Affine Operations

Autores: Atli Kosson, Martin Jaggi
Publicado en: ISSN 2305-17190
Editor: NeurIPS
DOI: 10.48550/ARXIV.2305.17190

Human Uncertainty in Concept-Based AI Systems

Autores: Katherine Maeve Collins ,Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky ,Adrian Weller , Krishnamurthy Dvijotham
Publicado en: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Editor: AIES
DOI: 10.1145/3600211.3604692

Automated Classification of Model Errors on ImageNet

Autores: Momchil Peychev, Mark Niklas Müller, Marc Fischer, Martin Vechev
Publicado en: NeurIPS'23, 2023
Editor: NeurIPS
DOI: 10.48550/arXiv.2401.02430

Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency

Autores: Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka
Publicado en: Equity and Access in Algorithms, Mechanisms, and Optimization, 2025
Editor: ACM
DOI: 10.1145/3617694.3623249

DocILE Benchmark for Document Information Localization and Extraction

Autores: Štěpán Šimsa, Milan Šulc, Michal Uřičář, Yash Patel, Ahmed Hamdi, Matěj Kocián, Matyáš Skalický, Jiří Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas
Publicado en: Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, 2023, ISBN 978-3-031-41678-1
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-41679-8_9

Trading-off payments and accuracy in online classification with paid stochastic experts

Autores: Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolo Cesa-Bianchi
Editor: ICML
DOI: 10.5555/3618408.3619857

Self-supervised Representation Learning for Adversarial Attack Detection

Autores: Yi Li, Plamen Angelov, Neeraj Suri
Publicado en: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73027-6_14

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Autores: Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara
Publicado en: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73036-8_12

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models

Autores: Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz
Editor: archiv.org

DPVIm: Differentially Private Variational Inference Improved

Autores: Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
Publicado en: TMLR 9/2023, 2023
Editor: TMLR 9/2023

The New Public Analytics as an Emerging Paradigm in Public Sector Administration

Autores: Karen Yeung
Editor: Tilburg Law Review
DOI: 10.5334/TILR.303

Risk-Averse Certification of Bayesian Neural Networks (ZWG+25)

Autores: Xiyue Zhang, Zifan Wang, Yulong Gao, Licio Romao, Alessandro Abate, Marta Kwiatkowska
Publicado en: Technical report
Editor: Technical report
DOI: 10.48550/ARXIV.2411.19729

Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks (VSLK24)

Autores: Jon Vadillo, Roberto Santana, Jose A. Lozano, Marta Kwiatkowska
Publicado en: Technical report
Editor: Technical report
DOI: 10.48550/ARXIV.2403.13740

Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models

Autores: Ruta Binkyte, Ivaxi Sheth, Zhijing Jin, Mohammad Havaei, Bernhard Schölkopf, Mario Fritz
Editor: api.semanticscholar.org
DOI: 10.48550/ARXIV.2502.21123

The GeometricKernels Package: Heat and Mat\'ern Kernels for Geometric Learning on Manifolds, Meshes, and Graphs

Autores: Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
Editor: archiv.org

On Neuron Activation Pattern and Applications

Autores: Ziping Jiang, Plamen Angelov, Dmitry Kangin, Zhaonian Zhang, Richard Jiang
Publicado en: 2024
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.36227/TECHRXIV.170421894.45150592/V1

FineWeb2: A sparkling update with 1000s of languages

Autores: Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec, Bettina Messmer, Negar Foroutan, Martin Jaggi, Leandro von Werra, Thomas Wolf
Publicado en: github open source release
Editor: github open source release

Living-off-The-Land Reverse-Shell Detection by Informed Data Augmentation

Autores: Trizna, D., Demetrio, L., Biggio, B., & Roli, F.
Publicado en: 2024, ISSN 2402-18329
Editor: ArXiv
DOI: 10.48550/arXiv.2402.18329

epfLLM Megatron-LLM

Autores: AH Cano, M Pagliardini, A Köpf, K Matoba, A Mohtashami, OS Fan, A Marmet, D Bayazit, I Krawczuk, Z Chen, F Salvi, A Bosselut, M Jaggi
Editor: GitHub

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

Autores: Thierry Bossy, Julien Vignoud, Tahseen Rabbani, Juan R Troncoso Pastoriza, Martin Jaggi
Publicado en: arXiv
Editor: arXiv
DOI: 10.48550/ARXIV.2502.05087

On-device collaborative language modeling via a mixture of generalists and specialists

Autores: Dongyang Fan, Bettina Messmer, Nikita Doikov, Martin Jaggi
Publicado en: arXiv
Editor: arXiv
DOI: 10.48550/ARXIV.2409.13931

Evaluating Language Models for Mathematics through Interactions

Autores: Katherine M. Collins, Albert Q. Jiang, Simon Frieder, Lionel Wong, Miri Zilka, Umang Bhatt, Thomas Lukasiewicz, Yuhuai Wu, Joshua B. Tenenbaum, William Hart, Timothy Gowers, Wenda Li, Adrian Weller, Mateja Jamnik
Publicado en: ISSN 2306-01694
Editor: arXiv
DOI: 10.1073/PNAS.2318124121

σ-zero: Gradient-based Optimization of ℓ0-norm Adversarial Examples

Autores: Cinà, A.E., Villani, F., Pintor, M., Schönherr, L., Biggio, B., Pelillo, M.,
Publicado en: 2024, ISSN 2402-01879
Editor: ArXiv
DOI: 10.48550/arXiv.2402.01879

From Managers to Machines: A Reply to Respondents

Autores: Karen Yeung
Editor: Tilburg Law Review
DOI: 10.5334/TILR.308

Transfer learning from inorganic materials to ivory detection

Autores: A. Aghasanli, P. Angelov, D. Kangin, J. Kerns and R. Shepherd
Publicado en: Scientific Reports
Editor: Scientific Reports

The European Union's AI Act: beyond motherhood and apple pie?

Autores: Nathalie A. Smuha, Karen Yeung
Publicado en: 2024
Editor: Elsevier BV
DOI: 10.2139/SSRN.4874852

STR-Cert: Robustness Certification for Deep Text Recognition on Deep Learning Pipelines and Vision Transformers

Autores: Daqian Shao, Lukas Fesser, Marta Kwiatkowska
Publicado en: Technical report, paper under submission, 2023
Editor: N/A
DOI: 10.48550/arXiv.2401.05338

Exploring the role of Text in Visual Question Answering on Natural Scenes and Documents

Autores: Ruben Perez Tito
Publicado en: 2023, ISBN 978-84-124793-5-5
Editor: Ediciones Gráficas Rey

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