178 citations · 347 across the 23 of their papers we have counts for
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cs.LG2019★ 17 cited
Defending Against Adversarial Examples with K-Nearest Neighbor
Chawin Sitawarin, David Wagner
Robustness is an increasingly important property of machine learning models as they become more and more prevalent. We propose a defense against adversarial examples based on a k-n…
cs.LG2019★ 7 cited
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
Vikash Sehwag, Arjun Nitin Bhagoji, Liwei Song +4
A large body of recent work has investigated the phenomenon of evasion attacks using adversarial examples for deep learning systems, where the addition of norm-bounded perturbation…
cs.CR2019
On the Robustness of Deep K-Nearest Neighbors
Chawin Sitawarin, David Wagner
Despite a large amount of attention on adversarial examples, very few works have demonstrated an effective defense against this threat. We examine Deep k-Nearest Neighbor (DkNN), a…