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An Information-Theoretic Explanation for the Adversarial Fragility of AI
  Classifiers

An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers

27 January 2019
Hui Xie
Jirong Yi
Weiyu Xu
R. Mudumbai
    AAML
ArXivPDFHTML

Papers citing "An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers"

2 / 2 papers shown
Title
Mutual Information Learned Classifiers: an Information-theoretic
  Viewpoint of Training Deep Learning Classification Systems
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Jirong Yi
Q. Zhang
Zhenji Chen
Qiaoan Liu
Weizhuo Shao
SSL
FedML
34
3
0
21 Sep 2022
Derivation of Information-Theoretically Optimal Adversarial Attacks with
  Applications to Robust Machine Learning
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
Jirong Yi
R. Mudumbai
Weiyu Xu
AAML
32
2
0
28 Jul 2020
1