35 citations · 163 across the 31 of their papers we have counts for
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cs.LG2022
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui, Alexandre Araujo, Rafael Pinot +2
Randomized smoothing is the dominant standard for provable defenses against adversarial examples. Nevertheless, this method has recently been proven to suffer from important inform…
cs.LG2022★ 2 cited
Towards Consistency in Adversarial Classification
Laurent Meunier, Raphaël Ettedgui, Rafael Pinot +2
In this paper, we study the problem of consistency in the context of adversarial examples. Specifically, we tackle the following question: can surrogate losses still be used as a p…