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The Effect of Prior Lipschitz Continuity on the Adversarial Robustness
  of Bayesian Neural Networks

The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks

7 January 2021
Arno Blaas
Stephen J. Roberts
    BDL
    AAML
ArXivPDFHTML

Papers citing "The Effect of Prior Lipschitz Continuity on the Adversarial Robustness of Bayesian Neural Networks"

2 / 2 papers shown
Title
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
929
0
21 Oct 2016
1