15 citations · 23 across the 6 of their papers we have counts for
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cs.LG2020
Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Yael Mathov, Eden Levy, Ziv Katzir +2
Recent work on adversarial learning has focused mainly on neural networks and domains where those networks excel, such as computer vision, or audio processing. The data in these do…
cs.LG2020★ 1 cited
Adversarial robustness via stochastic regularization of neural activation sensitivity
Gil Fidel, Ron Bitton, Ziv Katzir +1
Recent works have shown that the input domain of any machine learning classifier is bound to contain adversarial examples. Thus we can no longer hope to immune classifiers against…