Daniele Angioni

According to our database, Daniele Angioni authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates.

Daniele Angioni, Luca Demetrio, Maura Pintor, Luca Oneto, Davide Anguita, Battista Biggio, Fabio Roli

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Regression-aware Continual Learning for Android Malware Detection.

Daniele Ghiani, Daniele Angioni, Giorgio Piras, Angelo Sotgiu, Luca Minnei, Srishti Gupta, Maura Pintor, Fabio Roli, Battista Biggio

CoRR, July, 2025

Buffer-free Class-Incremental Learning with Out-of-Distribution Detection.

Srishti Gupta, Daniele Angioni, Maura Pintor, Ambra Demontis, Lea Schönherr, Battista Biggio, Fabio Roli

CoRR, May, 2025

Deploying robust machine-learning models: practical issues and mitigations.

Daniele Angioni

PhD thesis, 2025

Understanding Regression in Continual Learning for Malware Detection.

Daniele Ghiani, Daniele Angioni, Angelo Sotgiu, Maura Pintor, Battista Biggio

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025

2024

On the Robustness of Adversarial Training Against Uncertainty Attacks.

Emanuele Ledda, Giovanni Scodeller, Daniele Angioni, Giorgio Piras, Antonio Emanuele Cinà, Giorgio Fumera, Battista Biggio, Fabio Roli

CoRR, 2024

2023

ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches.

Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli

Pattern Recognit., 2023

AI Security and Safety: The PRALab Research Experience.

Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli

Proceedings of the Italia Intelligenza Artificiale, 2023

Adversarial Attacks Against Uncertainty Quantification.

Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Robust Machine Learning for Malware Detection over Time.

Daniele Angioni, Luca Demetrio, Maura Pintor, Battista Biggio

Proceedings of the Italian Conference on Cybersecurity (ITASEC 2022), 2022

2020

Are spoofs from latent fingerprints a real threat for the best state-of-art liveness detectors?

Roberto Casula, Giulia Orrù, Daniele Angioni, Xiaoyi Feng, Gian Luca Marcialis, Fabio Roli

Proceedings of the 25th International Conference on Pattern Recognition, 2020