| -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 |
| 3.3 Where ML Security Is Broken and How to Fix It AE Cinà, M Pintor Security of Machine Learning, 47, 0 | | |
| 4.2 Non-forgetting Classifiers L Schönherr, T Eisenhofer, M Pintor, B Biggio Security of Machine Learning, 55, 0 | | |
| 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 | 3 | 2022 |
| ABOUT THIS EPISODE SML Contributors, M Melis, A Demontis, M Pintor, B Biggio | | |
| 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 |
| 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 |
| All Episodes SML Contributors, M Melis, A Demontis, M Pintor, B Biggio | | |
| ALOHA P MELONI, O Ripolles, D Solans, M Pintor, B Biggio, T Stefanov, ... Proceedings of the Workshop on INTelligent Embedded Systems Architectures …, 0 | | |
| ALOHA: an architectural-aware framework for deep learning at the edge P Meloni, D Loi, G Deriu, AD Pimentel, D Sapra, B Moser, N Shepeleva, ... Proceedings of the workshop on INTelligent embedded systems architectures …, 2018 | 17 | 2018 |
| 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 | 1 | 2024 |
| Attacking machine learning for fun and profit (with the authors of SecML Ep. 80) SML Contributors, M Melis, A Demontis, M Pintor, B Biggio | | |
| Attacking machine learning for fun and profit (with the authors of SecML Ep. 80) Oct 1'19 SML Contributors, M Melis, A Demontis, M Pintor, B Biggio | | |
| Attacking machine learning for fun and profit (with the authors of SecML)(Ep. 80) M Melis, A Demontis, M Pintor, B Biggio | | |
| Be right Beach: A social IoT system for sustainable tourism based on beach overcrowding avoidance R Girau, E Ferrara, M Pintor, M Sole, D Giusto 2018 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2018 | 17 | 2018 |
| 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 |
| 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 |
| Detecting anomalies from video-sequences: a novel descriptor G Orru, D Ghiani, M Pintor, GL Marcialis, F Roli 2020 25th International Conference on Pattern Recognition (ICPR), 4642-4649, 2021 | 9 | 2021 |
| 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 |
| DSML 2023 Committee L Yang, M Jagielski, H Alemzadeh, R Bobba, V Chandrasekaran, ... | | |
Battista BiggioFull Professor, University of Cagliari, Italy在 unica.it 的电子邮件经过验证
