PIRAS, GIORGIO
PIRAS, GIORGIO
DIPARTIMENTO DI INGEGNERIA ELETTRICA ED ELETTRONICA
Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models
In corso di stampa Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
On the robustness of adversarial training against uncertainty attacks
2026-01-01 Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness
2025-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio
An Experimental Analysis of Semi-supervised Learning for Malware Detection
2025-01-01 Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista
HO-FMN: Hyperparameter optimization for fast minimum-norm attacks
2025-01-01 Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio
Adversarial Attacks Against Uncertainty Quantification
2023-01-01 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
AI Security and Safety: The PRALab Research Experience
2023-01-01 Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio
Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization
2023-01-01 Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks
2023-01-01 Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista
Explaining Machine Learning DGA Detectors from DNS Traffic Data
2022-01-01 Piras, Giorgio; Pintor, Maura; Demetrio, Luca; Biggio, Battista
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models | In corso di stampa | Pintore, Marco; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | - |
| On the robustness of adversarial training against uncertainty attacks | 1-gen-2026 | Ledda, Emanuele; Scodeller, Giovanni; Angioni, Daniele; Piras, Giorgio; Cinà, Antonio Emanuele; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness | 1-gen-2025 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista; Giacinto, Giorgio; Roli, Fabio | PATTERN RECOGNITION | - |
| An Experimental Analysis of Semi-supervised Learning for Malware Detection | 1-gen-2025 | Minnei, Luca; Piras, Giorgio; Sotgiu, Angelo; Pintor, Maura; Demontis, Ambra; Maiorca, Davide; Biggio, Battista | - | - |
| HO-FMN: Hyperparameter optimization for fast minimum-norm attacks | 1-gen-2025 | Mura, Raffaele; Floris, Giuseppe; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Giacinto, Giorgio; Biggio, Battista; Roli, Fabio | NEUROCOMPUTING | - |
| Adversarial Attacks Against Uncertainty Quantification | 1-gen-2023 | Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | - | IEEE COMPUTER SOC |
| AI Security and Safety: The PRALab Research Experience | 1-gen-2023 | Demontis, Ambra; Pintor, Maura; Demetrio, Luca; Sotgiu, Angelo; Angioni, Daniele; Piras, Giorgio; Gupta, Srishti; Biggio, Battista; Roli, Fabio | - | CEUR-WS Team, Redaktion Sun SITE |
| Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization | 1-gen-2023 | Floris, Giuseppe; Mura, Raffaele; Scionis, Luca; Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | Ciaco - i6doc.com |
| Samples on Thin Ice: Re-evaluating Adversarial Pruning of Neural Networks | 1-gen-2023 | Piras, Giorgio; Pintor, Maura; Demontis, Ambra; Biggio, Battista | - | - |
| Explaining Machine Learning DGA Detectors from DNS Traffic Data | 1-gen-2022 | Piras, Giorgio; Pintor, Maura; Demetrio, Luca; Biggio, Battista | - | - |