Towards Understanding the Generative Capability of
Adversarially Robust Classifiers
Yao Zhu1 *, Jiacheng Ma2 , Jiacheng Sun2, Zewei Chen2 , Rongxin Jiang1 , Yaowu Chen1 , Zhenguo Li2
1
Zhejiang University, 2 Huawei Noah’s Ark Lab
Abstract other generative methods.
In this paper, we aim to understand the generative capa-
Recently, some works found an interestin ...


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