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Revisiting Role of Autoencoders in Adversarial Settings
by
Byeong Cheon Kim
, Ro, Yong Man
, Kim, Jung Uk
, Lee, Hakmin
in
Masking
/ Noise reduction
/ Robustness
2020
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Revisiting Role of Autoencoders in Adversarial Settings
by
Byeong Cheon Kim
, Ro, Yong Man
, Kim, Jung Uk
, Lee, Hakmin
in
Masking
/ Noise reduction
/ Robustness
2020
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Paper
Revisiting Role of Autoencoders in Adversarial Settings
2020
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Overview
To combat against adversarial attacks, autoencoder structure is widely used to perform denoising which is regarded as gradient masking. In this paper, we revisit the role of autoencoders in adversarial settings. Through the comprehensive experimental results and analysis, this paper presents the inherent property of adversarial robustness in the autoencoders. We also found that autoencoders may use robust features that cause inherent adversarial robustness. We believe that our discovery of the adversarial robustness of the autoencoders can provide clues to the future research and applications for adversarial defense.
Publisher
Cornell University Library, arXiv.org
Subject
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