Daniele Angioni

19 papers B 1Journal 13Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Buffer-free class-incremental learning with out-of-distribution detection. Pattern Recognit. Srishti Gupta, Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Fabio Roli, Battista Biggio
2026	J	`jnl`	On the robustness of adversarial training against uncertainty attacks. Pattern Recognit. Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
2025	J	`jnl`	Buffer-free Class-Incremental Learning with Out-of-Distribution Detection. CoRR Srishti Gupta, Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Battista Biggio, Fabio Roli
2025	—	`—`	Deploying robust machine-learning models: practical issues and mitigations. Daniele Angioni
2025	J	`jnl`	Out-of-Distribution Detection for Continual Learning: Design Principles and Benchmarking. CoRR Srishti Gupta, Riccardo Balia, Daniele Angioni, Fabio Brau, Maura Pintor, Ambra Demontis, Alessandro Sebastian, Salvatore M. Carta, Fabio Roli, Battista Biggio
2025	J	`jnl`	Regression-aware Continual Learning for Android Malware Detection. CoRR Daniele Ghiani, Daniele Angioni, Giorgio Piras, Angelo Sotgiu, Luca Minnei, Srishti Gupta, Maura Pintor, Fabio Roli, Battista Biggio
2025	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. IEEE Trans. Pattern Anal. Mach. Intell. Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2025	—	`conf`	Understanding Regression in Continual Learning for Malware Detection. ITASEC/SERICS Daniele Ghiani, Daniele Angioni, Angelo Sotgiu, Maura Pintor, Battista Biggio
2024	J	`jnl`	On the Robustness of Adversarial Training Against Uncertainty Attacks. CoRR Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli
2024	J	`jnl`	Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates. CoRR Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli
2023	—	`conf`	AI Security and Safety: The PRALab Research Experience. Ital-IA Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli
2023	—	`conf`	Adversarial Attacks Against Uncertainty Quantification. ICCV (Workshops) Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli
2023	J	`jnl`	Adversarial Attacks Against Uncertainty Quantification. CoRR Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli
2023	J	`jnl`	ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. Pattern Recognit. Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2022	J	`jnl`	ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. CoRR Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
2022	—	`conf`	Robust Machine Learning for Malware Detection over Time. ITASEC Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
2022	J	`jnl`	Robust Machine Learning for Malware Detection over Time. CoRR Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio
2020	B	`conf`	Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? ICPR Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli
2020	J	`jnl`	Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors? CoRR Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli