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Robust and Information-theoretically Safe Bias Classifier against
  Adversarial Attacks

Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks

8 November 2021
Lijia Yu
Xiao-Shan Gao
    AAML
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Papers citing "Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks"

3 / 3 papers shown
Title
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using
  Stackelberg Game
Achieve Optimal Adversarial Accuracy for Adversarial Deep Learning using Stackelberg Game
Xiao-Shan Gao
Shuang Liu
Lijia Yu
AAML
16
0
0
17 Jul 2022
Adversarial Parameter Attack on Deep Neural Networks
Adversarial Parameter Attack on Deep Neural Networks
Lijia Yu
Yihan Wang
Xiao-Shan Gao
AAML
26
8
0
20 Mar 2022
A Robust Classification-autoencoder to Defend Outliers and Adversaries
A Robust Classification-autoencoder to Defend Outliers and Adversaries
Lijia Yu
Xiao-Shan Gao
AAML
21
2
0
30 Jun 2021
1