Pintor, Maura

9 publications

ICLR 2025 $\sigma$-Zero: Gradient-Based Optimization of $\ell_0$-Norm Adversarial Examples Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo

AAAI 2025 AttackBench: Evaluating Gradient-Based Attacks for Adversarial Examples Antonio Emanuele Cinà, Jérôme Rony, Maura Pintor, Luca Demetrio, Ambra Demontis, Battista Biggio, Ismail Ben Ayed, Fabio Roli

NeurIPS 2025 TransferBench: Benchmarking Ensemble-Based Black-Box Transfer Attacks Fabio Brau, Maura Pintor, Antonio Emanuele Cinà, Raffaele Mura, Luca Scionis, Luca Oneto, Fabio Roli, Battista Biggio

ICMLW 2022 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

NeurIPS 2022 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli

NeurIPSW 2021 Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve

NeurIPS 2021 Fast Minimum-Norm Adversarial Attacks Through Adaptive Norm Constraints Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio

ICMLW 2021 Fast Minimum-Norm Adversarial Attacks Through Adaptive Norm Constraints Maura Pintor, Fabio Roli, Wieland Brendel, Battista Biggio

ICMLW 2021 Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor, Luca Demetrio, Angelo Sotgiu, Giovanni Manca, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli