| Defending from physically-realizable adversarial attacks through internal over-activation analysis G Rossolini, F Nesti, F Brau, A Biondi, G Buttazzo Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15064 …, 2023 | 7 | 2023 |
| Maximizing team synergy in AI-related interdisciplinary groups: an interdisciplinary-by-design iterative methodology P Bisconti, D Orsitto, F Fedorczyk, F Brau, M Capasso, L De Marinis, ... AI & SOCIETY 38 (4), 1443-1452, 2023 | 5 | 2023 |
| Using self-organizing maps for the behavioral analysis of virtualized network functions G Lanciano, A Ritacco, F Brau, T Cucinotta, M Vannucci, A Artale, ... Cloud Computing and Services Science: 10th International Conference, CLOSER …, 2021 | 5 | 2021 |
| Robust-by-design classification via unitary-gradient neural networks F Brau, G Rossolini, A Biondi, G Buttazzo Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14729 …, 2023 | 4 | 2023 |
| Forecasting operation metrics for virtualized network functions T Cucinotta, G Lanciano, A Ritacco, F Brau, F Galli, V Iannino, M Vannucci, ... 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021 | 4 | 2021 |
| On the minimal adversarial perturbation for deep neural networks with provable estimation error F Brau, G Rossolini, A Biondi, G Buttazzo IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (4), 5038-5052, 2022 | 3 | 2022 |
| 1-Lipschitz Layers Compared: Memory, Speed, and Certifiable Robustness B Prach, F Brau, G Buttazzo, CH Lampert arXiv preprint arXiv:2311.16833, 2023 | 1 | 2023 |
| Defenses against Adversarial Examples in Deep Neural Networks F BRAU | | 2019 |
| INSIEMI DI BOHR, TEOREMI DI FØLNER E KŘÍŽ F Brau, M Di Nasso | | |
Giorgio ButtazzoProfessor of Computer Science, Scuola Superiore Sant'AnnaEmail verificata su sssup.it
