Angelo Sotgiu - RankMe

27 papers A* 1B 1C 1Misc 2Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating line-level localization ability of learning-based code vulnerability detection models. Mach. Learn. Marco Pintore, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Battista Biggio
2026	J	`jnl`	Label-efficient Training Updates for Malware Detection over Time. CoRR Luca Minnei, Cristian Manca, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Daniele Ghiani, Davide Maiorca, Giorgio Giacinto, Battista Biggio
2025	—	`conf`	An Experimental Analysis of Semi-supervised Learning for Malware Detection. ITASEC/SERICS Luca Minnei, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Davide Maiorca, Battista Biggio
2025	J	`jnl`	Evaluating Line-level Localization Ability of Learning-based Code Vulnerability Detection Models. CoRR Marco Pintore, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Battista Biggio
2025	J	`jnl`	RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors. CoRR Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, 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`	Robust image classification with multi-modal large language models. Pattern Recognit. Lett. Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, 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	Misc	`conf`	Data Drift in Android Malware Detection. ICMLC Luca Minnei, Hicham Eddoubi, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Battista Biggio
2024	J	`jnl`	Robust image classification with multi-modal large language models. CoRR Francesco Villani, Igor Maljkovic, Dario Lazzaro, Angelo Sotgiu, Antonio Emanuele Cinà, 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	Misc	`conf`	Detecting Attacks Against Deep Reinforcement Learning for Autonomous Driving. ICMLC Maura Pintor, Luca Demetrio, Angelo Sotgiu, Hsiao-Ying Lin, Chengfang Fang, Ambra Demontis, Battista Biggio
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`	Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
2022	B	`conf`	Explainability-based Debugging of Machine Learning for Vulnerability Discovery. ARES Angelo Sotgiu, Maura Pintor, Battista Biggio
2022	J	`jnl`	FADER: Fast adversarial example rejection. Neurocomputing Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
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	A*	`conf`	Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. NeurIPS Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
2022	J	`jnl`	secml: Secure and explainable machine learning in Python. SoftwareX Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio
2021	J	`jnl`	Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples. CoRR Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli
2020	J	`jnl`	Can Domain Knowledge Alleviate Adversarial Attacks in Multi-Label Classifiers? CoRR Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli
2020	J	`jnl`	Deep neural rejection against adversarial examples. EURASIP J. Inf. Secur. Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
2020	J	`jnl`	FADER: Fast Adversarial Example Rejection. CoRR Francesco Crecchi, Marco Melis, Angelo Sotgiu, Davide Bacciu, Battista Biggio
2019	J	`jnl`	Deep Neural Rejection against Adversarial Examples. CoRR Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli
2019	J	`jnl`	secml: A Python Library for Secure and Explainable Machine Learning. CoRR Marco Melis, Ambra Demontis, Maura Pintor, Angelo Sotgiu, Battista Biggio
2018	J	`jnl`	IntelliAV: Building an Effective On-Device Android Malware Detector. CoRR Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto
2017	C	`conf`	IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices. CD-MAKE Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto