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Weight-Covariance Alignment for Adversarially Robust Neural Networks

Weight-Covariance Alignment for Adversarially Robust Neural Networks

17 October 2020
Panagiotis Eustratiadis
H. Gouk
Da Li
Timothy M. Hospedales
    OOD
    AAML
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Papers citing "Weight-Covariance Alignment for Adversarially Robust Neural Networks"

4 / 4 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
GradDiv: Adversarial Robustness of Randomized Neural Networks via
  Gradient Diversity Regularization
GradDiv: Adversarial Robustness of Randomized Neural Networks via Gradient Diversity Regularization
Sungyoon Lee
Hoki Kim
Jaewook Lee
AAML
27
52
0
06 Jul 2021
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
58
63
0
02 Mar 2020
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
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