Explaining machine learning DGA detectors from DNS traffic data G Piras, M Pintor, L Demetrio, B Biggio CEUR WORKSHOP PROCEEDINGS 3260, 150-168, 2022 | 7 | 2022 |
Adversarial Attacks Against Uncertainty Quantification E Ledda, D Angioni, G Piras, G Fumera, B Biggio, F Roli Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 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 | 1 | 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 | 1 | 2023 |
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks R Mura, G Floris, L Scionis, G Piras, M Pintor, A Demontis, G Giacinto, ... Neurocomputing 616, 128918, 2025 | | 2025 |
On the Robustness of Adversarial Training Against Uncertainty Attacks E Ledda, G Scodeller, D Angioni, G Piras, AE Cinà, G Fumera, B Biggio, ... arXiv preprint arXiv:2410.21952, 2024 | | 2024 |
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness G Piras, M Pintor, A Demontis, B Biggio, G Giacinto, F Roli arXiv preprint arXiv:2409.01249, 2024 | | 2024 |
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 |
Utilizzabilità di tecniche affidabilistiche per la manutenzione predittiva di Stazioni Radio Base E Usai, G Piras | | |