Revisiting Role Of Autoencoders In Adversarial Settings

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To combat against adversarial attacks, autoencoder structure is widely usedto perform denoising which is regarded as gradient masking. In this paper, werevisit the role of autoencoders in adversarial settings. Through thecomprehensive experimental results and analysis, this paper presents theinherent property of adversarial robustness in the autoencoders. We also foundthat autoencoders may use robust features that cause inherent adversarialrobustness. We believe that our discovery of the adversarial robustness of theautoencoders can provide clues to the future research and applications foradversarial defense.
Publisher
IEEE Signal Processing Society
Issue Date
2020-10-25
Language
English
Citation

IEEE International Conference on Image Processing (ICIP) 2020

URI
http://hdl.handle.net/10203/274464
Appears in Collection
EE-Conference Papers(학술회의논문)
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