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Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial
  Defense

Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense

29 February 2024
Qiao Han
yong huang
Xinling Guo
Yiteng Zhai
Yu Qin
Yao Yang
    AAML
ArXivPDFHTML

Papers citing "Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense"

3 / 3 papers shown
Title
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
61
264
0
30 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1