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BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic
  Programming

BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming

19 June 2023
Steven Adams
A. Patané
Morteza Lahijanian
Luca Laurenti
    AAML
ArXivPDFHTML

Papers citing "BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming"

4 / 4 papers shown
Title
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
18
0
0
27 May 2024
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
71
264
0
13 Jun 2018
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
219
1,818
0
03 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
243
9,042
0
06 Jun 2015
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