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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

28 July 2020
Jirong Yi
R. Mudumbai
Weiyu Xu
    AAML
ArXivPDFHTML

Papers citing "Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning"

4 / 4 papers shown
Title
Mutual Information Learned Regressor: an Information-theoretic Viewpoint
  of Training Regression Systems
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
Jirong Yi
Q. Zhang
Zhengbo Chen
Qiaoan Liu
Weizhuo Shao
Yusen He
Yao Wang
SSL
28
0
0
23 Nov 2022
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
31
3
0
21 Sep 2022
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
65
230
0
25 May 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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