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Adversarial Attack and Defense for Non-Parametric Two-Sample Tests

Adversarial Attack and Defense for Non-Parametric Two-Sample Tests

7 February 2022
Xilie Xu
Jingfeng Zhang
Feng Liu
Masashi Sugiyama
Mohan S. Kankanhalli
    AAML
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Papers citing "Adversarial Attack and Defense for Non-Parametric Two-Sample Tests"

7 / 7 papers shown
Title
On the Convergence and Robustness of Adversarial Training
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
194
345
0
15 Dec 2021
Adversarial Robustness with Semi-Infinite Constrained Learning
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
Alejandro Ribeiro
AAML
OOD
115
42
0
29 Oct 2021
Consistent Non-Parametric Methods for Maximizing Robustness
Consistent Non-Parametric Methods for Maximizing Robustness
Robi Bhattacharjee
Kamalika Chaudhuri
AAML
39
8
0
18 Feb 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
225
676
0
19 Oct 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
223
437
0
25 Sep 2019
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng
Simranjit Singh
Patrick H. Chen
Pin-Yu Chen
Sijia Liu
Cho-Jui Hsieh
AAML
122
219
0
24 Sep 2019
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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