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Rethinking Feature Uncertainty in Stochastic Neural Networks for
  Adversarial Robustness

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness

1 January 2022
Hao Yang
Min Wang
Zhengfei Yu
Yun Zhou
    OOD
    AAML
ArXivPDFHTML

Papers citing "Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness"

2 / 2 papers shown
Title
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
72
63
0
02 Mar 2020
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
298
3,113
0
04 Nov 2016
1