Cinà, Antonio Emanuele

6 publications

MLJ 2026 Evaluating the Robustness of Explainable AI in Medical Image Recognition Under Natural and Adversarial Data Corruption Sara Repetto, Igor Maljkovic, Michele Lotto, Antonio Emanuele Cinà, Sebastiano Vascon, Fabio Roli

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

TMLR 2025 Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho, Víctor Jiménez Rodríguez, Alessandro Torcinovich, Antonio Emanuele Cinà, Carlos Cotrini, Lea Schönherr, Joachim M. Buhmann

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 2023 On the Limitations of Model Stealing with Uncertainty Quantification Models David Pape, Sina Däubener, Thorsten Eisenhofer, Antonio Emanuele Cinà, Lea Schönherr