ARGAN: Adversarially Robust Generative Adversarial Networks for Deep Neural Networks Against Adversarial Examples

被引：0
|
作者：
Choi, Seok-Hwan [1 ]
Shin, Jin-Myeong [1 ]
Liu, Peng [2 ]
Choi, Yoon-Ho [1 ]
机构：
[1] School of Computer Science and Engineering, Pusan National University, Busan,46241, Korea, Republic of
[2] College of Information Sciences and Technology, Pennsylvania State University, State College,PA,16801, United States
来源：
IEEE Access | 2022年 / 10卷
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摘要：
36
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页码：33602 / 33615
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