Sfoglia per Autore ANGIONI, DANIELE
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
Understanding Regression in Continual Learning for Malware Detection
2025-01-01 Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
2025-01-01 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio
Adversarial Attacks Against Uncertainty Quantification
2023-01-01 Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio
ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches
2023-01-01 Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; 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
Robust Machine Learning for Malware Detection over Time
2022-01-01 Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Biggio, Battista
Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?
2021-01-01 Casula, R.; Orru', G.; Angioni, D.; Feng, X.; Marcialis, G. L.; Roli, F.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| 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 | - |
| Understanding Regression in Continual Learning for Malware Detection | 1-gen-2025 | Ghiani, Daniele; Angioni, Daniele; Sotgiu, Angelo; Pintor, Maura; Biggio, Battista | - | CEUR |
| Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates | 1-gen-2025 | Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Oneto, Luca; Anguita, Davide; Biggio, Battista; Roli, Fabio | IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | - |
| Adversarial Attacks Against Uncertainty Quantification | 1-gen-2023 | Ledda, Emanuele; Angioni, Daniele; Piras, Giorgio; Fumera, Giorgio; Biggio, Battista; Roli, Fabio | - | IEEE COMPUTER SOC |
| ImageNet-Patch: a dataset for benchmarking machine learning robustness against adversarial patches | 1-gen-2023 | Pintor, Maura; Angioni, Daniele; Sotgiu, Angelo; Demetrio, Luca; Demontis, Ambra; Biggio, Battista; Roli, Fabio | PATTERN RECOGNITION | - |
| 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 |
| Robust Machine Learning for Malware Detection over Time | 1-gen-2022 | Angioni, Daniele; Demetrio, Luca; Pintor, Maura; Biggio, Battista | - | - |
| Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? | 1-gen-2021 | Casula, R.; Orru', G.; Angioni, D.; Feng, X.; Marcialis, G. L.; Roli, F. | - | Institute of Electrical and Electronics Engineers |
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