Demontis, Ambra

6 publications

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

ICMLW 2024 BUILD: Buffer-Free Incremental Learning with OOD Detection for the Wild Srishti Gupta, Daniele Angioni, Lea Schönherr, Ambra Demontis, 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

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

ICCVW 2017 Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid Marco Melis, Ambra Demontis, Battista Biggio, Gavin Brown, Giorgio Fumera, Fabio Roli