Giorgio Piras

According to our database, Giorgio Piras authored at least 18 papers between 2022 and 2026.

Collaborative distances:

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

2026

Latent-space Attacks for Refusal Evasion in Language Models.

Giorgio Piras, Raffaele Mura, Fabio Brau, Maura Pintor, Luca Oneto, Fabio Roli, Battista Biggio

CoRR, May, 2026

Evaluating line-level localization ability of learning-based code vulnerability detection models.

Marco Pintore, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Battista Biggio

Mach. Learn., April, 2026

Label-efficient Training Updates for Malware Detection over Time.

Luca Minnei, Cristian Manca, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Daniele Ghiani, Davide Maiorca, Giorgio Giacinto, Battista Biggio

CoRR, March, 2026

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

Pattern Recognit., 2026

SAGE-5GC: Security-Aware Guidelines for Evaluating Anomaly Detection in the 5G Core Network.

Cristian Manca, Christian Scano, Giorgio Piras, Fabio Brau, Maura Pintor, Battista Biggio

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2026), 2026

SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models.

Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

S2AP: Score-space Sharpness Minimization for Adversarial Pruning.

Giorgio Piras, Qi Zhao, Fabio Brau, Maura Pintor, Christian Wressnegger, Battista Biggio

CoRR, October, 2025

LatentBreak: Jailbreaking Large Language Models through Latent Space Feedback.

Raffaele Mura, Giorgio Piras, Kamile Lukosiute, Maura Pintor, Amin Karbasi, Battista Biggio

CoRR, October, 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

Adversarial pruning: improving evaluations and methods.

Giorgio Piras

PhD thesis, 2025

Adversarial pruning: A survey and benchmark of pruning methods for adversarial robustness.

Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio, Giorgio Giacinto, Fabio Roli

Pattern Recognit., 2025

HO-FMN: Hyperparameter optimization for fast minimum-norm attacks.

Raffaele Mura, Giuseppe Floris, Luca Scionis, Giorgio Piras, Maura Pintor, Ambra Demontis, Giorgio Giacinto, Battista Biggio, Fabio Roli

Neurocomputing, 2025

An Experimental Analysis of Semi-supervised Learning for Malware Detection.

Luca Minnei, Giorgio Piras, Angelo Sotgiu, Maura Pintor, Ambra Demontis, Davide Maiorca, Battista Biggio

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

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

Samples on Thin Ice: Re-Evaluating Adversarial Pruning of Neural Networks.

Giorgio Piras, Maura Pintor, Ambra Demontis, Battista Biggio

Proceedings of the International Conference on Machine Learning and Cybernetics, 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

Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization.

Giorgio Piras, Giuseppe Floris, Raffaele Mura, Luca Scionis, Maura Pintor, Battista Biggio, Ambra Demontis

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Explaining Machine Learning DGA Detectors from DNS Traffic Data.

Giorgio Piras, Maura Pintor, Luca Demetrio, Battista Biggio

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