Angelo Sotgiu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Hierarchical Text Categorization

Domain Knowledge

Top Venues

Pattern Recognit.

Publications

Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio
Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC (2023)
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
ImageNet-Patch: A dataset for benchmarking machine learning robustness against adversarial patches. Pattern Recognit. 134 (2023)
Ambra Demontis, Maura Pintor, Luca Demetrio, Angelo Sotgiu, Daniele Angioni, Giorgio Piras, Srishti Gupta, Battista Biggio, Fabio Roli
AI Security and Safety: The PRALab Research Experience. Ital-IA (2023)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio
secml: Secure and explainable machine learning in Python. SoftwareX 18 (2022)
Angelo Sotgiu, Maura Pintor, Battista Biggio
Explainability-based Debugging of Machine Learning for Vulnerability Discovery. ARES (2022)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. NeurIPS (2022)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Maura Pintor, Daniele Angioni, Angelo Sotgiu, Luca Demetrio, Ambra Demontis, Battista Biggio, Fabio Roli
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches. CoRR (2022)
Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
FADER: Fast adversarial example rejection. Neurocomputing 470 (2022)
Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. CoRR (2021)
Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR (2020)
Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
FADER: Fast Adversarial Example Rejection. CoRR (2020)
Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
Deep neural rejection against adversarial examples. EURASIP J. Inf. Secur. 2020 (2020)
Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio
secml: A Python Library for Secure and Explainable Machine Learning. CoRR (2019)
Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
Deep Neural Rejection against Adversarial Examples. CoRR (2019)
Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto
IntelliAV: Building an Effective On-Device Android Malware Detector. CoRR (2018)
Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto
IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices. CD-MAKE (2017)