European Lighthouse on Secure and Safe AI

Información del proyecto

ELSA

Identificador del acuerdo de subvención: 101070617

DOI

10.3030/101070617

Fecha de la firma de la CE 23 Junio 2022

Fecha de inicio 1 Septiembre 2022

Fecha de finalización 31 Agosto 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 7 434 058,75

Aportación de la UE

€ 7 434 058,50

Coordinado por

CISPA - HELMHOLTZ-ZENTRUM FUR INFORMATIONSSICHERHEIT GGMBH
Germany

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

Data sets, microdata, etc (1)

Benchmark Datasets

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

Documents, reports (7)

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.

Websites, patent fillings, videos etc. (1)

Visual Identity, Style and Communication Guidelines

Visual identity, style and communication guidelines.

Publicaciones

Peer reviewed articles (13)

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

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, 2023, ISSN 0360-0300
Editor: Association for Computing Machinery
DOI: 10.1145/3585385

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

Neuron Activation Pattern and Applications

Autores: Z. Jiang, P. Angelov, D. Kangin, …
Publicado en: Tech Rxiv, IEEE, 2024, ISSN 0000-0000
Editor: Tech Rxiv, IEEE
DOI: 10.36227/TECHRXIV.170421894.45150592

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

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

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

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

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

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

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

Conference proceedings (48)

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

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

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)

Is Mamba Capable of In-Context Learning?

Autores: Riccardo Grazzi, Julien Niklas Siems, Simon Schrodi, Thomas Brox, Frank Hutter
Publicado en: Sumbitted to AutoML24 Conference, 2024
Editor: Paper under double-blind review
DOI: 10.48550/arXiv.2402.03170

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

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces

Autores: P. Angelov, D. Kangin
Publicado en: ICLR Workshop on Mathematical and Empirical understanding of FM, 2024
Editor: ICLR Workshop on Mathematical and Empirical understanding of FM

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

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

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

"""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

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

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

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

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

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

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

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

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

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

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

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

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)

Certifiers Make Neural Networks Vulnerable to Availability Attacks

Autores: Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Publicado en: Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2025
Editor: ACM
DOI: 10.1145/3605764.3623917

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Other (6)

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

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

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

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

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

Thesis and dissertations (1)

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