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Double Backpropagation for Training Autoencoders against Adversarial
  Attack

Double Backpropagation for Training Autoencoders against Adversarial Attack

4 March 2020
Chengjin Sun
Sizhe Chen
Xiaolin Huang
    SILMAAML
ArXiv (abs)PDFHTML

Papers citing "Double Backpropagation for Training Autoencoders against Adversarial Attack"

3 / 3 papers shown
Adversarial Robustness in Unsupervised Machine Learning: A Systematic
  Review
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Mathias Lundteigen Mohus
Jinyue Li
AAML
236
4
0
01 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the
  Potential of Privacy Computing, Blockchain, and Beyond
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
511
46
0
01 Jun 2023
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Hui Sun
Tianqing Zhu
Zhiqiu Zhang
Dawei Jin
Wanlei Zhou
AAML
464
66
0
01 Dec 2021
1
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