European Lighthouse on Secure and Safe AI

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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.

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 Network and Communication Activities 1

Report on Network and Communication activities 1.

Use Cases Activity Report 1

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

Visual Identity, Style and Communication Guidelines

Visual identity, style and communication guidelines.

Publications

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

Author(s): Luca Oneto, Sandro Ridella, Davide Anguita
Published in: Neurocomputing, Issue 592, 2024, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.127798

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

Author(s): Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli
Published in: Pattern Recognition, Issue 168, 2025, ISSN 0031-3203
Publisher: Elsevier BV
DOI: 10.1016/J.PATCOG.2025.111788

Informed Machine Learning: Excess risk and generalization

Author(s): Luca Oneto, Sandro Ridella, Davide Anguita
Published in: Neurocomputing, Issue 646, 2025, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/J.NEUCOM.2025.130521

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

Author(s): Luca Demetrio, Battista Biggio
Published in: SSRN Electronic Journal, 2022, ISSN 1556-5068
Publisher: Elsevier BV
DOI: 10.2139/SSRN.4066509

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

Author(s): Francesco Cappio Borlino, Lorenzo Lu, Tatiana Tommasi
Published in: IEEE Access, Issue 12, 2025, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3409587

Mask2Anomaly: Mask Transformer for Universal Open-Set Segmentation

Author(s): Shyam Nandan Rai, Fabio Cermelli, Barbara Caputo, Carlo Masone
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 46, 2024, ISSN 0162-8828
Publisher: 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

Author(s): Zhaonian Zhang, Vaneet Aggarwal, Plamen Angelov, Richard Jiang
Published in: IEEE Journal of Biomedical and Health Informatics, Issue 29, 2025, ISSN 2168-2194
Publisher: 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

Author(s): Lorenzo Baraldi, Roberto Amoroso, Marcella Cornia, Lorenzo Baraldi, Andrea Pilzer, Rita Cucchiara
Published in: Computer Vision and Image Understanding, Issue 252, 2025, ISSN 1077-3142
Publisher: Elsevier BV
DOI: 10.1016/J.CVIU.2025.104294

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

Author(s): Plamen Angelov, Dmitry Kangin, Ziyang Zhang
Published in: Neurocomputing, Issue 626, 2025, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/J.NEUCOM.2025.129464

Neuron Activation Pattern and Applications

Author(s): Z. Jiang, P. Angelov, D. Kangin, …
Published in: IEEE Transcations on Pattern Analysis and Machine Intelligence, 2024, ISSN 0000-0000
Publisher: 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?

Author(s): Karen Yeung
Published in: Prometheus, 2023, ISSN 1470-1030
Publisher: Pluto Journals
DOI: 10.13169/prometheus.39.1.0008

IEEE Transactions on Pattern Analysis and Machine Intelligence

Author(s): Moritz Böhle, Navdeeppal Singh, Mario Fritz, Bernt Schiele
Published in: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024., ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPAMI.2024.3355155

Delve Into Neural Activations: Toward Understanding Dying Neurons

Author(s): Ziping Jiang, Yunpeng Wang, Chang-Tsun Li, Plamen Angelov, Richard Jiang
Published in: IEEE Transactions on Artificial Intelligence, Issue 4, 2024, ISSN 2691-4581
Publisher: IEEE
DOI: 10.1109/TAI.2022.3180272

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

Author(s): Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard A. Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
Published in: ACM Computing Surveys, Issue 55, 2025, ISSN 0360-0300
Publisher: 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

Author(s): Karen Yeung, Wenlong Li
Published in: Data & Policy, Issue 7, 2025, ISSN 2632-3249
Publisher: Cambridge University Press (CUP)
DOI: 10.1017/DAP.2025.10019

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

Author(s): Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé
Published in: Applied Soft Computing, Issue 183, 2025, ISSN 1568-4946
Publisher: Elsevier BV
DOI: 10.1016/J.ASOC.2025.113582

When Should Algorithms Resign? A Proposal for AI Governance

Author(s): Umang Bhatt, Holli Sargeant
Published in: The IEEE Computer Society, ISSN 0018-9162
Publisher: The IEEE Computer Society
DOI: 10.48550/ARXIV.2402.18326

Building machines that learn and think with people

Author(s): 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
Published in: Nature Human Behaviour, Issue 8, 2024, ISSN 2397-3374
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41562-024-01991-9

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

Author(s): Leonardo Iurada; Silvia Bucci; Timothy M. Hospedales; Tatiana Tommasi
Published in: IEEE Access, 2024, ISSN 2169-3536
Publisher: IEEE
DOI: 10.1109/ACCESS.2024.3383841

Algorithmic loafing and mitigation strategies in Human-AI teams

Author(s): Isa Inuwa-Dutse, Alice Toniolo, Adrian Weller, Umang Bhatt
Published in: Computers in Human Behavior: Artificial Humans, Issue 1, 2025, ISSN 2949-8821
Publisher: Elsevier BV
DOI: 10.1016/J.CHBAH.2023.100024

Investigating over-parameterized randomized graph networks

Author(s): Giovanni Donghi, Luca Pasa, Luca Oneto, Claudio Gallicchio, Alessio Micheli, Davide Anguita, Alessandro Sperduti, Nicolò Navarin
Published in: Neurocomputing, Issue 606, 2024, ISSN 0925-2312
Publisher: Elsevier BV
DOI: 10.1016/J.NEUCOM.2024.128281

Towards Robust Metrics for Concept Representation Evaluation

Author(s): Mateo Espinosa Zarlenga, Pietro Barbiero, Zohreh Shams, Dmitry Kazhdan, Umang Bhatt, Adrian Weller, Mateja Jamnik
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 37, 2023, ISSN 2374-3468
Publisher: 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

Author(s): Danilo Franco, Vincenzo Stefano D’Amato, Luca Pasa, Nicolò Navarin, Luca Oneto
Published in: Neurocomputing, ISSN 1872-8286
Publisher: Neurocomputing
DOI: 10.1016/J.NEUCOM.2023.126948

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Author(s): Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 47, 2025, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2025.3573237

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

Author(s): Filippo Galli, Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi, Tommaso Cucinotta
Published in: Springer Nature Computer Science, 2023, ISSN 2661-8907
Publisher: Springer Nature
DOI: 10.1007/s42979-023-02292-0

Nebula: Self-Attention for Dynamic Malware Analysis

Author(s): Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Published in: IEEE Transactions on Information Forensics and Security, Issue 19, 2025, ISSN 1556-6013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TIFS.2024.3409083

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

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

Perspectives on incorporating expert feedback into model updates

Author(s): Valerie Chen, Umang Bhatt, Hoda Heidari, Adrian Weller, Ameet Talwalkar
Published in: CellPress Open Access - Patterns, ISSN 0000-0000
Publisher: CellPress Open Access
DOI: 10.1016/J.PATTER.2023.100780

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples

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

Adversarial Attack Detection via Fuzzy Predictions

Author(s): Y. Li, P. Angelov, N. Suri
Published in: IEEE Transactions on Fuzzy Systems, ISSN 1941-0034
Publisher: IEEE Transactions on Fuzzy Systems
DOI: 10.1109/TFUZZ.2024.3473768

On the robustness of adversarial training against uncertainty attacks

Author(s): Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
Published in: Pattern Recognition, Issue 172, 2025, ISSN 0031-3203
Publisher: Elsevier BV
DOI: 10.1016/J.PATCOG.2025.112519

Collaborative learning from distributed data with differentially private synthetic data

Author(s): Lukas Prediger, Joonas Jälkö, Antti Honkela, Samuel Kaski
Published in: BMC Medical Informatics and Decision Making, Issue 24, 2024, ISSN 1472-6947
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/S12911-024-02563-7

Hierarchical multimodal transformers for Multipage DocVQA

Author(s): Rubèn Tito, Dimosthenis Karatzas, Ernest Valveny
Published in: Pattern Recognition, Issue 144, 2023, ISSN 0031-3203
Publisher: Elsevier BV
DOI: 10.1016/J.PATCOG.2023.109834

Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis

Author(s): Xiyue Zhang, Xiaoyong Xue, Xiaoning Du, Xiaofei Xie, Yang Liu, Meng Sun
Published in: IEEE Transactions on Dependable and Secure Computing, Issue 22, 2025, ISSN 1545-5971
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TDSC.2025.3550330

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

Author(s): Luca Barsellotti, Roberto Amoroso, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Publisher: IEEE
DOI: 10.1109/CVPR52733.2024.00354

UnGANable: Defending Against GAN-based Face Manipulation Proceedings Article

Author(s): Zheng Li; Ning Yu; Ahmed Salem; Michael Backes; Mario Fritz; Yang Zhang
Published in: USENIX Security Symposium (USENIX Security), 2023
Publisher: USENIX
DOI: 10.5555/3620237.3620641

Do Invariances in Deep Neural Networks Align with Human Perception?

Author(s): V. Nanda, A. Majumdar, C. Kolling, J. Dickerson, K. Gummadi, B. Love and A. Weller.
Published in: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI), 2023.
Publisher: AAAI 2023
DOI: 10.1609/AAAI.V37I8.26112

Abstract Interpretation of Fixpoint Iterators with Applications to Neural Networks

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

Individual Privacy Accounting with Gaussian Differential Privacy

Author(s): Antti Koskela, Marlon Tobaben, Antti Honkela
Published in: ICLR 2023, ISSN 2209-15596
Publisher: ICLR 2023

Client-specific Property Inference against Secure Aggregation in Federated Learning

Author(s): Raouf Kerkouche, Gergely Ács, Mario Fritz
Published in: Proceedings of the 22nd Workshop on Privacy in the Electronic Society (WPES), ACM, 2023
Publisher: WPES
DOI: 10.48550/ARXIV.2303.03908

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

Author(s): Daniel Gibert, Giulio Zizzo, Quan Le
Published in: Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2025
Publisher: ACM
DOI: 10.1145/3605764.3623914

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing

Author(s): Alaa Anani, Tobias Lorenz, Bernt Schiele, Mario Fritz
Published in: International Conference on Machine Learning (ICML)
Publisher: International Conference on Machine Learning (ICML)

Hyperbolic Safety-Aware Vision-Language Models

Author(s): Tobia Poppi;Tejaswi Kasarla;Pascal Mettes;Lorenzo Baraldi;Rita Cucchiara
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Publisher: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Author(s): Giada Stivala; Sahar Abdelnabi; Andrea Mengascini; Mariano Graziano; Mario Fritz; Giancarlo Pellegrino
Published in: ACSAC '23: Proceedings of the 39th Annual Computer Security Applications Conference
Publisher: ACSAC 23
DOI: 10.48550/ARXIV.2308.01273

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

Author(s): Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Published in: Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 2023
Publisher: Advances in Neural Information Processing Systems 36 (NeurIPS 2023)

Learning to Receive Help: Intervention-Aware Concept Embedding Models

Author(s): Mateo Espinosa Zarlenga, Katherine M. Collins, Krishnamurthy Dvijotham, Adrian Weller, Zohreh Shams, Mateja Jamnik
Published in: Neural Information Processing Systems
Publisher: NeurIPS, 2023
DOI: 10.48550/ARXIV.2309.16928

Is Mamba Capable of In-Context Learning?

Author(s): Riccardo Grazzi, Julien Niklas Siems, Simon Schrodi, Thomas Brox, Frank Hutter
Published in: AutoML24
Publisher: AutoML24
DOI: 10.48550/ARXIV.2402.03170

Harms from Increasingly Agentic Algorithmic Systems

Author(s): 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
Published in: 2023 ACM Conference on Fairness Accountability and Transparency, 2025
Publisher: ACM
DOI: 10.1145/3593013.3594033

FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines

Author(s): Matthew Barker, Emma Kallina, Dhananjay Ashok, Katherine M. Collins, Ashley Casovan, Adrian Weller, Ameet Talwalkar, Valerie Chen, Umang Bhatt
Published in: ISSN 2307-15475
Publisher: ACM
DOI: 10.48550/ARXIV.2307.15475

Unmasking Anomalies in Road-Scene Segmentation

Author(s): Shyam Nandan Rai , Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo
Published in: IEEE Internationa Conference on Computer Vision (ICCV) 2023, 2023
Publisher: ICCV
DOI: 10.1109/ICCV51070.2023.00373

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

Author(s): Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang
Published in: USENIX Security Symposium (USENIX Security), 2022
Publisher: USENIX
DOI: 10.48550/ARXIV.2102.02551

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

Author(s): Max Losch, David Stutz, Bernt Schiele, Mario Fritz
Published in: DAGM German Conference on Pattern Recognition (GCPR), 2023.
Publisher: DAGM
DOI: 10.48550/ARXIV.2309.06166

Safety is Essential for Responsible Open-Ended Systems

Author(s): Ivaxi Sheth, Jan Wehner, Sahar Abdelnabi, Ruta Binkyte, Mario Fritz
Publisher: ICLR2025
DOI: 10.48550/ARXIV.2502.04512

Improving Fairness via Intrinsic Plasticity in Echo State Networks

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

Towards interpretable-by-design deep learning algorithms

Author(s): Plamen Angelov, Dmitry Kangin, Ziyang Zhang
Published in: UNDER REVIEW, ISSN 2311-11396
Publisher: N/A
DOI: 10.48550/ARXIV.2311.11396

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

Author(s): Jialuo Chen, Jingyi Wang, Xiyue Zhang, Youcheng Sun, Marta Kwiatkowska, Jiming Chen, Peng Cheng
Published in: 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)., 2024
Publisher: IEEE
DOI: 10.48550/ARXIV.2409.09130

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

Author(s): S. Kumar, R. Marjieh, B. Zhang, D. Campbell, M. Hu, U. Bhatt, B. Lake and T. Griffiths.
Published in: Conference of the Cognitive Science Society (CogSci) 2024
Publisher: CogSci 2024
DOI: 10.48550/ARXIV.2402.03618

Collaborative Learning via Prediction Consensus

Author(s): Dongyang Fan, Celestine Mendler-Dünner, Martin Jaggi
Published in: ISSN 2305-18497
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2305.18497

DRCFS: Doubly Robust Causal Feature Selection

Author(s): Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer
Published in: ICML 2023: Fortieth International Conference on Machine Learning, 2023
Publisher: 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

Author(s): Rebecca Weil; Sahar Abdelnabi; Mario Fritz; Rakibul Hasan
Published in: European Symposium on Security and Privacy Workshops
Publisher: EuroS&PW
DOI: 10.1109/EUROSPW61312.2024.00062

Learning Personalized Decision Support Policies

Author(s): Umang Bhatt, Valerie Chen, Katherine M. Collins, Parameswaran Kamalaruban, Emma Kallina, Adrian Weller, Ameet Talwalkar
Published in: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence
Publisher: AAAI 2025
DOI: 10.48550/ARXIV.2304.06701

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

Author(s): Volker Strobel, Marco Dorigo, Mario Fritz
Published in: NeurIPS 2024 Workshop on Open-World Agents
Publisher: NeurIPS 2024
DOI: 10.48550/ARXIV.2410.11387

Data Drift in Android Malware Detection

Author(s): Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio
Published in: 2024 International Conference on Machine Learning and Cybernetics (ICMLC), 2025
Publisher: IEEE
DOI: 10.1109/ICMLC63072.2024.10935015

Adversarial Attacks Against Uncertainty Quantification

Author(s): Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli;
Published in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023
Publisher: ICCV
DOI: 10.48550/ARXIV.2309.10586

LLMs on interactive feature collections with implicit dynamic decision strategy

Author(s): Juyeon Heo, Vihari Piratla, Kyunghyun Lee, Hyonkeun Joh, Adrian Weller
Published in: Proceedings of the 31st International Conference on Computational Linguistics
Publisher: International Conference on Computational Linguistics

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

Author(s): Gabriele Trivigno; Carlo Masone; Barbara Caputo; Torsten Sattler
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher: IEEE
DOI: 10.48550/ARXIV.2404.10438

Modulating Language Model Experiences through Frictions

Author(s): Katherine M. Collins, Valerie Chen, Ilia Sucholutsky, Hannah Rose Kirk, Malak Sadek, Holli Sargeant, Ameet Talwalkar, Adrian Weller, Umang Bhatt
Published in: Neural Information Processing Systems (NeurIPS 2024) Workshop on Behavioral Machine Learning
Publisher: 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

Author(s): A Lopez Pellicer, A Mariucci, P Angelov, M Bukhari, JG Kerns
Published in: ICCV 2025
Publisher: ICCV 2025

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

Author(s): Thibaut Loiseau, Tuan-Hung Vu, Mickael Chen, Patrick Pérez, Matthieu Cord
Published in: European Conference on Computer Vision (ECCV) 2024, 2024
Publisher: European Conference on Computer Vision (ECCV) 2024
DOI: 10.48550/ARXIV.2312.09231

Multitask Online Learning: Listen to the Neighborhood Buzz

Author(s): Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Published in: Artificial Intelligence and Statistics 2024, ISSN 2310-17385
Publisher: PMLR Conference Proceedings
DOI: 10.48550/ARXIV.2310.17385

Fuzzy Detectors Against Adversarial Attacks

Author(s): Y. Li, P. Angelov, N. Suri
Published in: IEEE Symposium Series on Computational Intelligence, 2023
Publisher: IEEE Symposium Series on Computational Intelligence

Efficient Certified Training and Robustness Verification of Neural ODEs

Author(s): Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer, Martin Vechev
Published in: ICLR, ISSN 2303-05246
Publisher: ICLR

Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks

Author(s): Sanne van Waveren, Christian Pek , Iolanda Leite, Jana Tumova, Danica Kragic
Published in: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ISSN 2023-0816
Publisher: IEEE
DOI: 10.1109/IROS55552.2023.10341369

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

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

Explainable Audio-Visual Representation Learning via Prototypical Contrastive Masked Autoencoder

Author(s): Y. Li, P. Angelov
Published in: Advances in neural information processing systems
Publisher: Advances in neural information processing systems

Towards Biologically Plausible and Private Gene Expression Data Generation Proceedings Article

Author(s): Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
Published in: The 24th Privacy Enhancing Technologies Symposium, 2024.
Publisher: Privacy Enhancing Technologies Symposium
DOI: 10.48550/ARXIV.2402.04912

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

Author(s): Gabriele Berton, Gabriele Goletto, Gabriele Trivigno, Alex Stoken, Barbara Caputo, Carlo Masone
Published in: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024
Publisher: IEEE
DOI: 10.1109/CVPRW63382.2024.00430

Towards More Robust Interpretation via Local Gradient Alignment

Author(s): S. Joo, S. Jeong, J. Heo, A. Weller and T. Moon.
Published in: Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence
Publisher: AAAI 2023
DOI: 10.1609/AAAI.V37I7.25986

Establishing the Price of Privacy in Federated Data Trading

Author(s): Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Published in: ISSN 2111-15415
Publisher: PLS
DOI: 10.48550/ARXIV.2111.15415

Federated Document Visual Question Answering: A Pilot Study

Author(s): Khanh Nguyen, Dimosthenis Karatzas
Published in: ICDAR 2024
Publisher: ICDAR 2024
DOI: 10.48550/ARXIV.2405.06636

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

Author(s): Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Published in: STOC 2024 - 56th ACM Symposium on Theory of Computing, ISSN 2307-09478
Publisher: ACM Press
DOI: 10.1145/3618260.3649658

Certification of Distributional Individual Fairness

Author(s): M. Wicker, V. Piratla and A. Weller.
Published in: Neural Information Processing Systems (NeurIPS), 2023.
Publisher: NeurIPS 2023
DOI: 10.48550/ARXIV.2311.11911

MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Author(s): Bhavya Sukhija, Stelian Coros, Andreas Krause, Pieter Abbeel, Carmelo Sferrazza
Published in: ICLR 2025
Publisher: ICLR 2025

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

Author(s): Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi
Published in: Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2025
Publisher: ACM
DOI: 10.1145/3658644.3691411

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

Author(s): Dmitry Kangin, Plamen Angelov
Published in: 2nd Workshop on Workshop on Mathematical and Empirical Understanding of Foundation Models
Publisher: ICLR-2024
DOI: 10.48550/ARXIV.2402.14976FOCUSTOLEARNMORE

Confidential-PROFITT: Confidential PROof of FaIr Training of Trees

Author(s): Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
Published in: The Eleventh International Conference on Learning Representations
Publisher: Conference on Learning Representations

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

Author(s): Hossein Hajipour, Keno Hassler, Thorsten Holz, Lea Schönherr, Mario Fritz
Published in: 2nd IEEE Conference on Secure and Trustworthy Machine Learning (SATML), 2024
Publisher: SATML
DOI: 10.48550/ARXIV.2302.04012

Evaluating the Evaluators: Trust in Adversarial Robustness Tests

Author(s): Antonio Emanuele Cinà, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
Publisher: Ital-IA

Cybersecurity and AI: The PRALab Research Experience

Author(s): Maura Pintor, Giulia Orrù, Davide Maiorca, Ambra Demontis, Luca Demetrio, Gian Luca Marcialis, Battista Biggio, Fabio Roli
Published in: 3rd National Conference on Artificial Intelligence, 2023
Publisher: National Conference on Artificial Intelligence

Machine learning within latent spaces formed by foundation models

Author(s): B Tomczyk, P Angelov, D Kangin
Published in: 2024 IEEE 12th International Conference on Intelligent Systems (IS), ISSN 2767-9802
Publisher: IEEE

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

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

CoTFormer: More Tokens With Attention Make Up For Less Depth

Author(s): Amirkeivan Mohtashami, Matteo Pagliardini, Martin Jaggi
Published in: ISSN 2310-10845
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2310.10845

Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation

Author(s): Sara Sarto, Manuele Barraco, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Publisher: CVPR
DOI: 10.48550/ARXIV.2303.12112

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

Author(s): A Aghasanli, Y Li, P Angelov,
Published in: Proceedings of the Computer Vision and Pattern Recognition Conference
Publisher: Computer Vision Foundation

A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets

Author(s): Ossi Räisä, Antti Honkela
Published in: AISTATS 2025, 2025
Publisher: AISTATS 2025
DOI: 10.48550/ARXIV.2402.03985

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

Author(s): Silvia Cappelletti, Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Published in: Lecture Notes in Computer Science, Pattern Recognition, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78305-0_8

Expressivity of ReLU-Networks under Convex Relaxations

Author(s): Maximilian Baader, Mark Niklas Müller, Yuhao Mao, Martin Vechev
Published in: ICLR'24, 2023
Publisher: ICLR
DOI: 10.48550/arXiv.2311.04015

Actsafe: Active exploration with safety constraints for reinforcement learning

Author(s): As, Yarden and Sukhija, Bhavya and Treven, Lenart and Sferrazza, Carmelo and Coros, Stelian and Krause, Andreas
Published in: ICLR 2025
Publisher: ICLR 2025

Adversarial Causal Bayesian Optimization

Author(s): S. Sussex, P. G. Sessa, A. Makarova, A. Krause
Published in: International Conference on Learning Representations (ICLR), 2023
Publisher: ICLR
DOI: 10.48550/arXiv.2307.16625

Pixel-level Certified Explanations via Randomized Smoothing

Author(s): Alaa Anani, Tobias Lorenz, Mario Frityz, Bernt Schiele
Publisher: International Conference on Machine Learning (ICML)

Hypothesizing Missing Causal Variables with LLMs

Author(s): Ivaxi Sheth; Sahar Abdelnabi; Mario Fritz
Published in: NeurIPS 2024 Workshop on Causality and Large Models (CaLM).
Publisher: NeurIPS 2024 Workshop on Causality and Large Models (CaLM).
DOI: 10.48550/ARXIV.2409.02604

STEP - Towards Structured Scene-Text Spotting

Author(s): Sergi Garcia-Bordils, Dimosthenis Karatzas, Marçal Rusiñol
Published in: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024, ISSN 2309-02356
Publisher: IEEE Xplore
DOI: 10.1109/WACV57701.2024.00093

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

Author(s): Edoardo Debenedetti; Javier Rando; Daniel Paleka; Fineas Silaghi; Dragos Albastroiu; Niv Cohen; Yuval Lemberg; Reshmi Ghosh; Rui Wen; Ahmed Salem; Giovanni Cherubin;
Published in: 2024
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2406.07954

Certifiers Make Neural Networks Vulnerable to Availability Attacks

Author(s): Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Published in: 16th ACM Workshop on Artificial Intelligence and Security (AISec 2023, ISSN 2300-5963
Publisher: Association for Computing Machinery
DOI: 10.48550/ARXIV.2108.11299

Irreducible Curriculum for Language Model Pretraining

Author(s): Simin Fan, Martin Jaggi
Published in: ISSN 2310-15389
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2310.15389

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

Author(s): Siddhartha Gairola, Moritz Böhle, Francesco Locatello, and Bernt Schiele
Published in: International Conference on Learning Representations
Publisher: International Conference on Learning Representations

AI Security and Safety: The PRALab Research Experience

Author(s): Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio and Fabio Roli
Published in: Ital-IA 2023
Publisher: Ital-IA 2023

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

Author(s): Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Published in: IEEE CVPR 2024, 2024
Publisher: IEEE CVPR 2024

Iterative Teaching by Data Hallucination

Author(s): Z. Qiu, W. Liu, T. Xiao, Z. Liu, U. Bhatt, Y. Luo, A. Weller and B. Schölkopf.
Published in: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.
Publisher: AISTATS 2023
DOI: 10.48550/ARXIV.2210.17467

Faster Causal Attention Over Large Sequences Through Sparse Flash Attention

Author(s): Matteo Pagliardini, Daniele Paliotta, Martin Jaggi, François Fleuret
Published in: ISSN 2306-01160
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2306.01160

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

Author(s): Federico Betti, Jacopo Staiano, Lorenzo Baraldi, Lorenzo Baraldi, Rita Cucchiara, Nicu Sebe
Publisher: ACM MM
DOI: 10.48550/ARXIV.2307.09416

Certified Training: Small Boxes are All You Need

Author(s): Mark Niklas Müller, Franziska Eckert, Marc Fischer, Martin Vechev
Published in: ICLR (Spotlight), ISSN 2210-04871
Publisher: ICLR
DOI: 10.48550/ARXIV.2210.04871

Private Set Generation with Discriminative Information

Author(s): Dingfan Chen, Raouf Kerkouche, Mario Fritz
Published in: Neural Information Processing Systems (NeurIPS), 2022
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2211.04446

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Author(s): Boyang Zhang, Zheng Li, Ziqing Yang, Xinlei He, Michael Backes, Mario Fritz, Yang Zhang
Published in: USENIX Security Symposium (USENIX), 2024
Publisher: USENIX
DOI: 10.5555/3698900.3699117

Robust Self-Supervised Learning for Adversarial Attack Detection

Author(s): Y. Li, P. Angelov, N. Suri
Published in: Advances in neural information processing systems
Publisher: Advances in neural information processing systems

Noise-Aware Differentially Private Variational Inference

Author(s): Talal Alrawajfeh, Joonas Jälkö, Antti Honkela
Published in: AISTATS 2025, 2025
Publisher: AISTATS 2025
DOI: 10.48550/ARXIV.2410.19371

Mitigating Unfair Regression in Machine Learning Model Updates

Author(s): Irene Buselli, Anna Pallarès López, Eduard Martín Jiménez, Davide Anguita, Fabio Roli, Luca Oneto
Published in: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Publisher: IEEE
DOI: 10.1109/ICMLA61862.2024.00289

A Simple Recipe for Language-guided Domain Generalized Segmentation

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

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation

Author(s): Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Raoul de Charette
Published in: International Conference on Computer Vision, ICCV 2025
Publisher: International Conference on Computer Vision, ICCV 2025

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

Author(s): Marta Kwiatkowska, Xiyue Zhang
Published in: Proceedings of the 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023), ISSN 2309-11196
Publisher: Polish Information Processing Society

Geometric Multimodal Contrastive Representation Learning

Author(s): Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
Publisher: ICML 22

Learning Safety Constraints for Large Language Models

Author(s): Xin Chen and Yarden As and Andreas Krause
Published in: ICML 2025
Publisher: ICML 2025

Vision-Based Landing Guidance Through Tracking and Orientation Estimation

Author(s): João P. K. Ferreira, João P. Pinto, Júlia Moura, Yi Li, Cristiano L. Castro, Plamen Angelov
Published in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Publisher: IEEE
DOI: 10.1109/WACV61041.2025.00937

Synthcap: Augmenting transformers with synthetic data for image captioning

Author(s): Caffagni, D., Barraco, M., Cornia, M., Baraldi, L., Cucchiara, R
Published in: International Conference on Image Analysis and Processing (ICIAP), 2023
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-43148-7_10

Efficient Robustness Verification of Neural Ordinary Differential Equations

Author(s): Mustafa Zeqiri, Mark Niklas Müller, Marc Fischer, Martin Vechev
Published in: The Symbiosis of Deep Learning and Differential Equations II
Publisher: The Symbiosis of Deep Learning and Differential Equations II

Puppeteer your robot: Augmented reality leader-follower teleoperation

Author(s): Jonne Van Haastregt, Michael C Welle, Yuchong Zhang, Danica Kragic
Published in: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids)
Publisher: IEEE
DOI: 10.48550/ARXIV.2407.11741

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

Author(s): Egor Zverev, Sahar Abdelnabi, Mario Fritz, Christoph H. Lampert
Published in: ICLR 2024 Workshop on Secure and Trustworthy Large Language Models
Publisher: ICLR
DOI: 10.48550/ARXIV.2403.06833

Learning Decision Policies with Instrumental Variables through Double Machine Learning

Author(s): Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska
Published in: Forty-first International Conference on Machine Learning
Publisher: ICML 2024

Stealthy imitation: reward-guided environment-free policy stealing

Author(s): Zhixiong Zhuang; Maria-Irina Nicolae; Mario Fritz
Published in: ICML'24: Proceedings of the 41st International Conference on Machine Learning
Publisher: 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.

Author(s): Miri Zilka, Riccardo Fogliato, Jiri Hron, Bradley Butcher, Carolyn Ashurst, Adrian Weller
Published in: ACM Conference on Fairness, Accountability and Transparency (FAccT), 2023.
Publisher: ACM Digital Library
DOI: 10.1145/3593013.3594099

PØDA: Prompt-driven Zero-shot Domain Adaptation

Author(s): Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette
Published in: IEEE/CVF International Conference on Computer Vision (ICCV) 2023, 2023
Publisher: IEEE/CVF
DOI: 10.1109/ICCV51070.2023.01707

TAPS: Connecting Certified and Adversarial Training

Author(s): Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin Vechev
Published in: NeurIPS'23
Publisher: NeurIPS'23
DOI: 10.48550/ARXIV.2305.04574

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Author(s): Riccardo Grazzi; Saverio Salzo; Massimiliano Pontil
Published in: Journal Of Machine Learning Research, 2024, ISSN 2403-11687
Publisher: 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’

Author(s): Karen Yeung
Published in: Global Governance by Data
Publisher: Cambridge University Press
DOI: 10.2139/SSRN.4651480

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

Author(s): Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
Published in: NeurIPS - Datasets and Benchmarks'24
Publisher: NeurIPS - Datasets and Benchmarks'24
DOI: 10.48550/ARXIV.2309.17234

Optimising for Interpretability: Convolutional Dynamic Alignment Networks

Author(s): Moritz Böhle, Mario Fritz, Bernt Schiele
Published in: Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 45, no. 6, pp. 7625–7638, 2023.
Publisher: TPAMI
DOI: 10.48550/ARXIV.2109.13004

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

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

Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Author(s): Riccardo Grazzi, Julien Siems, Arber Zela, Jörg K.H. Franke, Frank Hutter, Massimiliano Pontil.
Published in: Proceedings of the International Conference on Learning Representations, 2025
Publisher: ICLR 2025

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

Author(s): Sahar Abdelnabi, Mario Fritz
Published in: USENIX Security Symposium (USENIX Security)}, 2023
Publisher: USENIX
DOI: 10.48550/ARXIV.2209.03755

Interpretable-through-prototypes deepfake detection for diffusion models

Author(s): Agil Aghasanli; Dmitry Kangin; Plamen Angelov
Published in: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), ISSN 2473-9944
Publisher: IEEE
DOI: 10.1109/ICCVW60793.2023.00053

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

Author(s): Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Published in: ISSN 2205-08858
Publisher: Foundations & Practice of Security Symposium, FPS 2023.
DOI: 10.1007/978-3-031-57537-2_27

Understanding Certified Training with Interval Bound Propagation

Author(s): Yuhao Mao, Mark Niklas Müller, Marc Fischer, Martin Vechev
Published in: ICLR, ISSN 2306-10426
Publisher: ICLR
DOI: 10.48550/ARXIV.2306.10426

Parents and Children: Distinguishing Multimodal DeepFakes from Natural Images

Author(s): Roberto Amoroso, Davide Morelli, Marcella Cornia, Lorenzo Baraldi, Alberto Del Bimbo, Rita Cucchiara
Published in: ISSN 2304-00500
Publisher: UNDER REVIEW ACM TOMM
DOI: 10.48550/ARXIV.2304.00500

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

Author(s): Yi Li, Plamen Angelov, Neeraj Suri
Published in: ISSN 2161-4393
Publisher: IJCNN 2024
DOI: 10.1109/IJCNN60899.2024.10650687

Machine Unlearning for Document Classification

Author(s): Lei Kang, Mohamed Ali Souibgui, Fei Yang, Lluis Gomez, Ernest Valveny, Dimosthenis Karatzas
Published in: ICDAR 2024
Publisher: ICDAR 2024
DOI: 10.48550/ARXIV.2404.19031

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

Author(s): Daniel Marta, Simon Holk, Miguel Vasco, Jens Lundell, Timon Homberger, Finn Busch, Olov Andersson, Danica Kragic, Iolanda Leite
Published in: 2025 International Conference on Robotics and Automation, 2025
Publisher: IEEE

Cooperative online learning with feedback graphs

Author(s): Nicolò Cesa-Bianchi, Tommaso Cesari, and Riccardo Della Vecchia
Published in: Transactions on Machine Learning Research (06/2024), 2024
Publisher: Transactions on Machine Learning Research (06/2024)

On the informativeness of supervision signals

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

Robust Meta-Representation Learning via Global Label Inference and Classification

Author(s): Ruohan Wang, Isak Falk, Massimiliano Pontil, Carlo Ciliberto
Published in: 2023
Publisher: IEEE Transactions on Pattern Analysis and Machine Intelligence
DOI: 10.1109/TPAMI.2023.3328184

Noise-Aware Statistical Inference with Differentially Private Synthetic Data

Author(s): Ossi Räisä, Joonas Jälkö, Samuel Kaski, Antti Honkela
Published in: PMLR, ISSN 2205-14485
Publisher: PMLR

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

Author(s): Hossein Hajipour; Ning Yu; Cristian-Alexandru Staicu; Mario Fritz
Published in: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
Publisher: NAACL
DOI: 10.18653/V1/2024.FINDINGS-NAACL.90

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

Author(s): A. L. Pellicer, Y. Li, P. Angelov
Published in: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW)
Publisher: IEEE

Fast Feature Selection with Fairness Constraints

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

Adversarial Robustness Certification for Bayesian Neural Networks

Author(s): Matthew Wicker, Andrea Patane, Luca Laurenti, Marta Kwiatkowska
Published in: Lecture Notes in Computer Science
Publisher: Lecture Notes in Computer Science
DOI: 10.1007/978-3-031-71162-6_1

Use perturbations when learning from explanations

Author(s): Juyeon Heo, Vihari Piratla, Matthew Wicker, Adrian Weller
Publisher: NEURIPS

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

Author(s): Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
Publisher: To appear at PETS’24
DOI: 10.48550/ARXIV.2302.01068

Efficient Model Editing with Task-Localized Sparse Fine-tuning

Author(s): Leonardo Iurada, Marco Ciccone, Tatiana Tommasi
Published in: International Conference on Learning Representations
Publisher: International Conference on Learning Representations

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

Author(s): Lei Kang, Rubèn Tito, Ernest Valveny, Dimosthenis Karatzas
Published in: ICDAR 2024
Publisher: ICDAR 2024
DOI: 10.48550/ARXIV.2404.19024

Complex-Cycle-Consistent Diffusion Model for Monaural Speech Enhancement

Author(s): Y. Li, Y. Sun, P. Angelov
Published in: AAAI Conference on Artificial Intelligence
Publisher: AAAI Conference on Artificial Intelligence
DOI: 10.48550/ARXIV.2412.08856

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

Author(s): Benedikte Wallace, Marieke van Otterdijk, Yuchong Zhang, Nona Rajabi, Diego Marin-Bucio, Danica Kragic, Jim Torresen
Published in: Proceedings of the 12th International Conference on Human-Agent Interaction, 2025
Publisher: ACM
DOI: 10.1145/3687272.3688302

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

Author(s): Hui-Po Wang; Mario Fritz
Published in: 38th Conference on Neural Information Processing Systems (NeurIPS 2024)
Publisher: NeurIPS 2024
DOI: 10.48550/ARXIV.2409.17836

Mitigating Robustness Bias: Theoretical Results and Empirical Evidences

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

Lecture Notes in Computer Science

Author(s): Xiyue Zhang, Benjie Wang, Marta Kwiatkowska
Published in: TACAS 2024, 30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, 2024, ISSN 0302-9743
Publisher: Springer
DOI: 10.48550/arXiv.2305.03686

Confidential-DPproof: Confidential Proof of Differentially Private Training

Author(s): Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
Published in: International 12th Conference on Learning Representations
Publisher: International Conference on Learning Representations

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

Author(s): Mohamed Ali Souibgui, Sanket Biswas, Andres Mafla, Ali Furkan Biten, Alicia Fornés, Yousri Kessentini, Josep Lladós, Lluis Gomez, Dimosthenis Karatzas
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, Issue 37, 2023, ISSN 2374-3468
Publisher: 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

Author(s): Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
Published in: 16th ACM Workshop on Artificial Intelligence and Security (AISec), 2023
Publisher: ACM
DOI: 10.48550/ARXIV.2302.12173

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

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

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

Author(s): Yuchong Zhang, Khaled Kassem, Zhengya Gong, Fan Mo, Yong Ma, Emma Kirjavainen, Jonna Häkkilä
Published in: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, 2025
Publisher: ACM
DOI: 10.1145/3701571.3701610

DoGE: Domain Reweighting with Generalization Estimation

Author(s): Simin Fan, Matteo Pagliardini, Martin Jaggi
Published in: ISSN 2310-15393
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2310.15393

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Author(s): Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
Published in: International Conference on Learning Representations (ICLR), 2024
Publisher: ICLR 2024

Get my drift? Catching LLM Task Drift with Activation Deltas

Author(s): Sahar Abdelnabi; Aideen Fay; Giovanni Cherubin; Ahmed Salem; Mario Fritz; Andrew Paverd
Published in: IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) , 2025.
Publisher: SaTML 2025
DOI: 10.48550/ARXIV.2406.00799

Group Meritocratic Fairness in Linear Contextual Bandits

Author(s): Riccardo Grazzi, Arya Akhavan, John Isak Texas Falk, Leonardo Cella, Massimiliano Pontil
Published in: NeurIPS 2022
Publisher: NeurIPS 2022
DOI: 10.48550/ARXIV.2206.03150

ModSec-Learn: Boosting ModSecurity with Machine Learning

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

DocVXQA: Context-Aware Visual Explanations for Document Question Answering

Author(s): Mohamed Ali Souibgui, Changkyu Choi, Andrey Barsky, Kangsoo Jung, Ernest Valveny, Dimosthenis Karatzas
Published in: International Conference on Machine Learning
Publisher: International Conference on Machine Learning

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models

Author(s): Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas
Published in: ICLR 2025
Publisher: ICLR 2025

Privacy-Aware Document Visual Question Answering

Author(s): 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
Published in: 18th International Conference on Document Analysis and Recognition, ICDAR 2024
Publisher: ICDAR 2024
DOI: 10.48550/ARXIV.2312.10108

Landmark Attention: Random-Access Infinite Context Length for Transformers

Author(s): Amirkeivan Mohtashami, Martin Jaggi
Published in: ISSN 2305-16300
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2305.16300

CoBo: Collaborative Learning via Bilevel Optimization

Author(s): Diba Hashemi, Lie He, Martin Jaggi
Published in: NeurIPS 2024
Publisher: NeurIPS 2024

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

Author(s): Akash Gupta; Ivaxi Sheth; Vyas Raina; Mark Gales; Mario Fritz
Published in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Publisher: 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

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

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

Author(s): Wei Guo, Ambra Demontis, Maura Plntor, Patrick P.K. Chan, Battista Biggio
Published in: 2024 International Conference on Machine Learning and Cybernetics (ICMLC), 2025
Publisher: IEEE
DOI: 10.1109/ICMLC63072.2024.10935153

Learning to Generate Training Datasets for Robust Semantic Segmentation

Author(s): Marwane Hariat, Olivier Laurent, Rémi Kazmierczak, Shihao Zhang, Andrei Bursuc, Angela Yao, Gianni Franchi
Published in: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
Publisher: IEEE/CVF
DOI: 10.48550/ARXIV.2308.02535

Multi-task representation learning with stochastic linear bandits

Author(s): Leonardo Cella, Karim Lounici, Grégoire Pacreau, Massimiliano Pontil
Published in: AISTATS 2023
Publisher: AISTATS 2023

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

Author(s): S, Garcia-Bordils, D. Karatzas, M. Rusiñol
Published in: Document Analysis and Recognition - ICDAR 2023. ICDAR 2023. Lecture Notes in Computer Science, ISBN 978-3-031-41731-3
Publisher: Springer Cham
DOI: 10.1007/978-3-031-41731-3_7

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

Author(s): Cocchi, Federico; Baraldi, Lorenzo; Poppi, Samuele; Cornia, Marcella; Baraldi, Lorenzo; Cucchiara, Rita
Published in: Proceedings of the 22nd International Conference on Image Analysis and Processing, ISBN 978-3-031-43152-4
Publisher: Springer-Verlag
DOI: 10.1007/978-3-031-43153-1_29

CausalGraph2LLM: Evaluating LLMs for Causal Queries

Author(s): Ivaxi Sheth, Bahare Fatemi, Mario Fritz
Published in: NAACL'25
Publisher: NAACL'25

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA

Author(s): 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
Published in: NEURIPS 2024
Publisher: NEURIPS 2024
DOI: 10.48550/ARXIV.2411.03730

Robustness Guarantees for Bayesian Neural Networks

Author(s): Marta Kwiatkowska
Published in: Proc. 19th International Conference on Quantitative Evaluation of SysTems (QEST 2022), ISSN 1611-3349
Publisher: Springer
DOI: 10.1007/978-3-031-16336-4

Private and Collaborative Kaplan-Meier Estimators

Author(s): Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz
Publisher: ArXiv
DOI: 10.48550/ARXIV.2305.15359

Distributionally Robust Model-based Reinforcement Learning with Large State Spaces

Author(s): S.S. Ramesh, P. G. Sessa, Y. Hu, A. Krause, I. Bogunovic
Published in: International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Publisher: AISTATS
DOI: 10.48550/arXiv.2309.02236

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Author(s): Tejumade Afonja, Dingfan Chen, Mario Fritz
Publisher: GCPR’23
DOI: 10.60882/CISPA.25233076

Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention

Author(s): Matteo Pagliardini ~Matteo_Pagliardini1 , Daniele Paliotta, Martin Jaggi, François Fleuret
Publisher: NEURIPS 2023

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

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Publisher: ICML 2024

On the Efficacy of Differentially Private Few-shot Image Classification

Author(s): Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella Béguelin, Richard E. Turner, Antti Honkela
Published in: TMLR 2023, ISSN 2302-01190
Publisher: TMLR 2023

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

Author(s): Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022) Datasets and Benchmarks Track, 2022, ISBN 9781713871088
Publisher: NeurIPS 2022

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

Author(s): Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Published in: The German Conference on Pattern Recognition (GCPR)
Publisher: The German Conference on Pattern Recognition (GCPR)
DOI: 10.1007/978-3-031-85181-0_5

Hyperparameters in Score-Based Membership Inference Attacks

Author(s): Gauri Pradhan, Joonas Jälkö, Marlon Tobaben, Antti Honkela
Published in: SaTML 2025, 2025
Publisher: SaTML 2025
DOI: 10.48550/ARXIV.2502.06374

The BRAVO Semantic Segmentation Challenge Results in UNCV2024

Author(s): 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
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Publisher: 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

Author(s): Gabriele Tiboni, Andrea Protopapa, Tatiana Tommasi, Giuseppe Averta
Published in: IEEE Internationa Conference on Intelligent Robots and Systems (IROS) 2023, 2023
Publisher: IROS

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

Author(s): Sewade Ogun, Abraham T. Owodunni, Tobi Olatunji, Eniola Alese, Babatunde Oladimeji, Tejumade Afonja, Kayode Olaleye, Naome A. Etori, Tosin Adewumi
Published in: Biomedical Research in Artificial Intelligence and Machine Perception
Publisher: Interspeech 2024
DOI: 10.48550/ARXIV.2406.11727

TransferBench: Benchmarking Ensemble-based Black-box Transfer Attacks

Author(s): Brau, Fabio; Pintor, Maura; Cinà, Antonio Emanuele; Mura, Raffaele; Scionis, Luca; Oneto, Luca; Roli, Fabio; Biggio,Battista
Published in: The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2025
Publisher: OpenReview.net

Noise-Aware Differentially Private Regression via Meta-Learning

Author(s): Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Published in: NeurIPS 2024
Publisher: NeurIPS 2024

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

Author(s): Luca Melis, Luca Scionis, Fabio Brau, Maura Pintor, Battista Biggio
Publisher: ICML

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

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

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment

Author(s): Yaling Shen; Zhixiong Zhuang; Kun Yuang; Maria-Irina Nicolae; Nassir Navab; Nicolas Padoy; Mario Fritz
Publisher: AAAI 2025
DOI: 10.48550/ARXIV.2502.02438

Robust Explanation Constraints for Neural Networks

Author(s): Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
Published in: International Conference on Learning Representations (ICLR), 2023.
Publisher: ICLR 2023
DOI: 10.48550/ARXIV.2212.08507

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

Author(s): K. Nguyen, A. Biten, A. Mafla, L. Gomez, D. Karatzas
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, ISSN 2159-5399
Publisher: PKP PS
DOI: 10.1609/AAAI.V37I2.25285

Learning Counterfactually Invariant Predictors

Author(s): Francesco Quinzan, Cecilia Casolo, Krikamol Muandet, Yucen Luo, Niki Kilbertus
Published in: 2nd Workshop on Formal Verification of Machine Learning (WFVML 2023), 2023, ISSN 2207-09768
Publisher: arXiv
DOI: 10.48550/arXiv.2207.09768

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Author(s): Max Losch; Mohamed Omran; David Stutz; Mario Fritz; Bernt Schiele
Published in: The Twelfth International Conference on Learning Representations (ICLR), 2024
Publisher: OpenReview

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

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

Fairness Without Demographic Data: A Survey of Approaches

Author(s): Carolyn Ashurst, Adrian Weller
Published in: Equity and Access in Algorithms, Mechanisms, and Optimization, 2025
Publisher: ACM
DOI: 10.1145/3617694.3623234

Human-in-the-Loop Mixup

Author(s): Katherine M. Collins, Umang Bhatt, Weiyang Liu, Vihari Piratla, Ilia Sucholutsky, Bradley Love, Adrian Weller
Published in: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence
Publisher: PMLR

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

Author(s): Kacper Wyrwal, Viacheslav Borovitskiy
Published in: ICLR 2025
Publisher: ICLR 2025

Fair Empirical Risk Minimization Revised

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

Tight Accounting in the Shuffle Model of Differential Privacy

Author(s): Antti Koskela, Mikko A. Heikkilä ~Mikko_A._Heikkilä1 , Antti Honkela
Publisher: TMLR 2023

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

Author(s): Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
Published in: Findings of the Association for Computational Linguistics: NAACL 2024, 2024.
Publisher: 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

Author(s): Gabriele Berton, Alex Stoken, Barbara Caputo, Carlo Masone
Published in: CVPR 2024
Publisher: CVPR 2024
DOI: 10.48550/ARXIV.2403.06758

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

Author(s): Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Published in: International Conference on Human-Computer Interaction (HCII) 2024, 2024
Publisher: Springer
DOI: 10.48550/ARXIV.2403.18616

Edge Implementation of Unsupervised Self-evolving Vision Classifier

Author(s): P. Angelov, A. Aghasanli
Published in: IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024, 2024
Publisher: IEEE International Conference on Evolving and Adaptive Intelligent Systems 2024
DOI: 10.1109/EAIS58494.2024.10570024

Multiplication-Free Transformer Training via Piecewise Affine Operations

Author(s): Atli Kosson, Martin Jaggi
Published in: ISSN 2305-17190
Publisher: NeurIPS
DOI: 10.48550/ARXIV.2305.17190

Human Uncertainty in Concept-Based AI Systems

Author(s): Katherine Maeve Collins ,Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky ,Adrian Weller , Krishnamurthy Dvijotham
Published in: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Publisher: AIES
DOI: 10.1145/3600211.3604692

Automated Classification of Model Errors on ImageNet

Author(s): Momchil Peychev, Mark Niklas Müller, Marc Fischer, Martin Vechev
Published in: NeurIPS'23, 2023
Publisher: NeurIPS
DOI: 10.48550/arXiv.2401.02430

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

Author(s): Harry Camilleri, Carolyn Ashurst, Nithya Jaisankar, Adrian Weller, Miri Zilka
Published in: Equity and Access in Algorithms, Mechanisms, and Optimization, 2025
Publisher: ACM
DOI: 10.1145/3617694.3623249

DocILE Benchmark for Document Information Localization and Extraction

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

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

Author(s): Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolo Cesa-Bianchi
Publisher: ICML
DOI: 10.5555/3618408.3619857

Self-supervised Representation Learning for Adversarial Attack Detection

Author(s): Yi Li, Plamen Angelov, Neeraj Suri
Published in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73027-6_14

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Author(s): Lorenzo Baraldi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara
Published in: Lecture Notes in Computer Science, Computer Vision – ECCV 2024, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-73036-8_12

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

Author(s): Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz
Publisher: archiv.org

DPVIm: Differentially Private Variational Inference Improved

Author(s): Joonas Jälkö, Lukas Prediger, Antti Honkela, Samuel Kaski
Published in: TMLR 9/2023, 2023
Publisher: TMLR 9/2023

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

Author(s): Karen Yeung
Publisher: Tilburg Law Review
DOI: 10.5334/TILR.303

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

Author(s): Xiyue Zhang, Zifan Wang, Yulong Gao, Licio Romao, Alessandro Abate, Marta Kwiatkowska
Published in: Technical report
Publisher: Technical report
DOI: 10.48550/ARXIV.2411.19729

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

Author(s): Jon Vadillo, Roberto Santana, Jose A. Lozano, Marta Kwiatkowska
Published in: Technical report
Publisher: Technical report
DOI: 10.48550/ARXIV.2403.13740

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

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Publisher: api.semanticscholar.org
DOI: 10.48550/ARXIV.2502.21123

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Author(s): Peter Mostowsky, Vincent Dutordoir, Iskander Azangulov, Noémie Jaquier, Michael John Hutchinson, Aditya Ravuri, Leonel Rozo, Alexander Terenin, Viacheslav Borovitskiy
Publisher: archiv.org

On Neuron Activation Pattern and Applications

Author(s): Ziping Jiang, Plamen Angelov, Dmitry Kangin, Zhaonian Zhang, Richard Jiang
Published in: 2024
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.36227/TECHRXIV.170421894.45150592/V1

FineWeb2: A sparkling update with 1000s of languages

Author(s): Guilherme Penedo, Hynek Kydlíček, Vinko Sabolčec, Bettina Messmer, Negar Foroutan, Martin Jaggi, Leandro von Werra, Thomas Wolf
Published in: github open source release
Publisher: github open source release

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Author(s): Trizna, D., Demetrio, L., Biggio, B., & Roli, F.
Published in: 2024, ISSN 2402-18329
Publisher: ArXiv
DOI: 10.48550/arXiv.2402.18329

epfLLM Megatron-LLM

Author(s): 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
Publisher: GitHub

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

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Published in: arXiv
Publisher: arXiv
DOI: 10.48550/ARXIV.2502.05087

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

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Published in: arXiv
Publisher: arXiv
DOI: 10.48550/ARXIV.2409.13931

Evaluating Language Models for Mathematics through Interactions

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Published in: ISSN 2306-01694
Publisher: arXiv
DOI: 10.1073/PNAS.2318124121

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

Author(s): Cinà, A.E., Villani, F., Pintor, M., Schönherr, L., Biggio, B., Pelillo, M.,
Published in: 2024, ISSN 2402-01879
Publisher: ArXiv
DOI: 10.48550/arXiv.2402.01879

From Managers to Machines: A Reply to Respondents

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Publisher: Tilburg Law Review
DOI: 10.5334/TILR.308

Transfer learning from inorganic materials to ivory detection

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Published in: Scientific Reports
Publisher: Scientific Reports

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Author(s): Nathalie A. Smuha, Karen Yeung
Published in: 2024
Publisher: Elsevier BV
DOI: 10.2139/SSRN.4874852

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

Author(s): Daqian Shao, Lukas Fesser, Marta Kwiatkowska
Published in: Technical report, paper under submission, 2023
Publisher: N/A
DOI: 10.48550/arXiv.2401.05338

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Published in: 2023, ISBN 978-84-124793-5-5
Publisher: Ediciones Gráficas Rey

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