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Giorgio Piras
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Explaining machine learning DGA detectors from DNS traffic data
G Piras, M Pintor, L Demetrio, B Biggio
CEUR WORKSHOP PROCEEDINGS 3260, 150-168, 2022
72022
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
22023
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
12023
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
12023
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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