Publications

Edoardo Debenedetti, Giorgio Severi, Nicholas Carlini, Christopher A. Choquette-Choo, Matthew Jagielski, Milad Nasr, Eric Wallace, Florian Tramèr (2023). Privacy Side Channels in Machine Learning Systems. arXiv.

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Edoardo Debenedetti, Nicholas Carlini, Florian Tramèr (2023). Evading Black-box Classifiers Without Breaking Eggs. ICML 2023 Workshop on Frontiers in AdvML, Oral presentation.

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Edoardo Debenedetti, Vikash Sehwag, Prateek Mittal (2022). A Light Recipe to Train Robust Vision Transformers. IEEE SaTML 2023.

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Edoardo Debenedetti (2022). Adversarially Robust Vision Transformers. EPFL.

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Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein (2021). RobustBench: A standardized benchmark for adversarial robustness. NeurIPS 2021 Datasets and Benchmarks Track.

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