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Can Adversarial Training Be Manipulated By Non-Robust Features?

Can Adversarial Training Be Manipulated By Non-Robust Features?

31 January 2022
Lue Tao
Lei Feng
Hongxin Wei
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
    AAML
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Papers citing "Can Adversarial Training Be Manipulated By Non-Robust Features?"

4 / 4 papers shown
Title
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
131
155
0
13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
A. Madry
Ashish Kapoor
WIGM
56
51
0
22 Dec 2020
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
201
554
0
19 Oct 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
2,899
0
04 Nov 2016
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