Giorgio Piras - RankMe

27 papers A* 1B 1Misc 1Journal 18Unranked 5

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
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
2026	—	`conf`	SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network. ITASEC/SERICS Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
2026	J	`jnl`	SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network. CoRR Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio
2026	A*	`conf`	SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models. AAAI Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
2025	J	`jnl`	Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness. Pattern Recognit. Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli
2025	—	`—`	Adversarial pruning: improving evaluations and methods. Giorgio Piras
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`	HO-FMN: Hyperparameter optimization for fast minimum-norm attacks. Neurocomputing Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli
2025	J	`jnl`	LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback. CoRR Raffaele Mura, Giorgio Piras, Kamile Lukosiute, Maura Pintor, Amin Karbasi, 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`	S2AP: Score-space Sharpness Minimization for Adversarial Pruning. CoRR Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio
2025	J	`jnl`	SOM Directions are Better than One: Multi-Directional Refusal Suppression in Language Models. CoRR Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
2024	J	`jnl`	Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness. CoRR Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli
2024	J	`jnl`	HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks. CoRR Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli
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
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	B	`conf`	Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. ESANN Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis
2023	J	`jnl`	Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization. CoRR Giuseppe Floris, Raffaele Mura, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2023	Misc	`conf`	Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. ICMLC Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2023	J	`jnl`	Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks. CoRR Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio
2022	—	`conf`	Explaining Machine Learning DGA Detectors from DNS Traffic Data. ITASEC Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio
2022	J	`jnl`	Explaining Machine Learning DGA Detectors from DNS Traffic Data. CoRR Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio