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Comment on "Adv-BNN: Improved Adversarial Defense through Robust
  Bayesian Neural Network"

Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"

1 July 2019
Roland S. Zimmermann
    AAML
ArXivPDFHTML

Papers citing "Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network""

3 / 3 papers shown
Title
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural
  Networks
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAML
BDL
48
1
0
27 Apr 2024
Benchmarking the Accuracy and Robustness of Feedback Alignment
  Algorithms
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms
Albert Jiménez Sanfiz
Mohamed Akrout
OOD
AAML
27
8
0
30 Aug 2021
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
40
52
0
06 Jul 2021
1