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Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks

Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks

3 November 2020
Tao Bai
Jinqi Luo
Jun Zhao
    AAML
ArXivPDFHTML

Papers citing "Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks"

5 / 5 papers shown
Title
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
217
675
0
19 Oct 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
124
103
0
17 Oct 2019
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
186
272
0
03 Dec 2018
Transferable Adversarial Attacks for Image and Video Object Detection
Transferable Adversarial Attacks for Image and Video Object Detection
Xingxing Wei
Siyuan Liang
Ning Chen
Xiaochun Cao
AAML
72
220
0
30 Nov 2018
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
243
914
0
21 Apr 2018
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