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Efficient Global Robustness Certification of Neural Networks via
  Interleaving Twin-Network Encoding

Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding

26 March 2022
Zhilu Wang
Chao Huang
Qi Zhu
    AAML
ArXivPDFHTML

Papers citing "Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding"

5 / 5 papers shown
Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
40
0
0
23 Feb 2025
Semi-supervised Semantics-guided Adversarial Training for Trajectory
  Prediction
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
Ruochen Jiao
Xiangguo Liu
Takami Sato
Qi Alfred Chen
Qi Zhu
AAML
23
20
0
27 May 2022
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based
  Planner
Physics-Aware Safety-Assured Design of Hierarchical Neural Network based Planner
Xiangguo Liu
Chao Huang
Yixuan Wang
Bowen Zheng
Qi Zhu
19
19
0
22 Jan 2022
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
1,818
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
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