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Beta-CROWN: Efficient Bound Propagation with Per-neuron Split
  Constraints for Complete and Incomplete Neural Network Robustness
  Verification

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification

11 March 2021
Shiqi Wang
Huan Zhang
Kaidi Xu
Xue Lin
Suman Jana
Cho-Jui Hsieh
Zico Kolter
ArXivPDFHTML

Papers citing "Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification"

2 / 52 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
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
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