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Maura Pintor
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Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis
Z Chen, L Demetrio, S Gupta, X Feng, Z Xia, AE Cinà, M Pintor, L Oneto, ...
arXiv preprint arXiv:2406.10090, 2024
2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AE Cinà, J Rony, M Pintor, L Demetrio, A Demontis, B Biggio, IB Ayed, ...
arXiv preprint arXiv:2404.19460, 2024
12024
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
D Angioni, L Demetrio, M Pintor, L Oneto, D Anguita, B Biggio, F Roli
arXiv preprint arXiv:2402.17390, 2024
2024
-zero: Gradient-based Optimization of -norm Adversarial Examples
AE Cinà, F Villani, M Pintor, L Schönherr, B Biggio, M Pelillo
arXiv preprint arXiv:2402.01879, 2024
2024
Rethinking data augmentation for adversarial robustness
H Eghbal-zadeh, W Zellinger, M Pintor, K Grosse, K Koutini, BA Moser, ...
Information Sciences 654, 119838, 2024
22024
Chairs Introduction and Welcome to AISec 2023
M Pintor, X Chen, F Tramèr
AISec 2023-Proceedings of the 16th ACM Workshop on Artificial Intelligence …, 2023
2023
Raze to the ground: Query-efficient adversarial html attacks on machine-learning phishing webpage detectors
B Montaruli, L Demetrio, M Pintor, L Compagna, D Balzarotti, B Biggio
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023
32023
AISec'23: 16th ACM Workshop on Artificial Intelligence and Security
M Pintor, FS Tramèr, X Chen
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023
2023
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
G Floris, R Mura, L Scionis, G Piras, M Pintor, A Demontis, B Biggio
arXiv preprint arXiv:2310.08177, 2023
2023
Minimizing energy consumption of deep learning models by energy-aware training
D Lazzaro, AE Cinà, M Pintor, A Demontis, B Biggio, F Roli, M Pelillo
International Conference on Image Analysis and Processing, 515-526, 2023
62023
Stateful detection of adversarial reprogramming
Y Zheng, X Feng, Z Xia, X Jiang, M Pintor, A Demontis, B Biggio, F Roli
Information Sciences 642, 119093, 2023
22023
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving
M Pintor, L Demetrio, A Sotgiu, HY Lin, C Fang, A Demontis, B Biggio
2023 International Conference on Machine Learning and Cybernetics (ICMLC), 57-62, 2023
2023
Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks
G Piras, M Pintor, A Demontis, B Biggio
2023 International Conference on Machine Learning and Cybernetics (ICMLC …, 2023
2023
Why adversarial reprogramming works, when it fails, and how to tell the difference
Y Zheng, X Feng, Z Xia, X Jiang, A Demontis, M Pintor, B Biggio, F Roli
Information Sciences 632, 130-143, 2023
202023
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches
M Pintor, D Angioni, A Sotgiu, L Demetrio, A Demontis, B Biggio, F Roli
Pattern Recognition 134, 109064, 2023
412023
Cybersecurity and AI: The PRALab Research Experience
M Pintor, G Orrú, D Maiorca, A Demontis, L Demetrio, G Marcialis, ...
CEUR WORKSHOP PROCEEDINGS 2486, 426-431, 2023
2023
AI Security and Safety: The PRALab Research Experience
A Demontis, M Pintor, L Demetrio, A Sotgiu, D Angioni, G Piras, S Gupta, ...
CEUR WORKSHOP PROCEEDINGS 3486, 324-328, 2023
2023
The threat of offensive ai to organizations
Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei, L Yang, X Zhang, ...
Computers & Security 124, 103006, 2023
762023
A survey on reinforcement learning security with application to autonomous driving
A Demontis, M Pintor, L Demetrio, K Grosse, HY Lin, C Fang, B Biggio, ...
arXiv preprint arXiv:2212.06123, 2022
32022
Indicators of attack failure: Debugging and improving optimization of adversarial examples
M Pintor, L Demetrio, A Sotgiu, A Demontis, N Carlini, B Biggio, F Roli
Advances in Neural Information Processing Systems 35, 23063-23076, 2022
332022
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