CLEVEREST: Accelerating CEGAR-based Neural Network Verification via Adversarial Attacks

Author:

Zhao Zhe,Zhang Yedi,Chen Guangke,Song Fu,Chen Taolue,Liu Jiaxiang

Publisher

Springer Nature Switzerland

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Unifying Syntactic and Semantic Abstractions for Deep Neural Networks;Lecture Notes in Computer Science;2024

2. On applying residual reasoning within neural network verification;Software and Systems Modeling;2023-11-16

3. Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples;ACM Transactions on Software Engineering and Methodology;2023-11-10

4. Towards robust neural networks via a global and monotonically decreasing robustness training strategy;Frontiers of Information Technology & Electronic Engineering;2023-10

5. Precise Quantitative Analysis of Binarized Neural Networks: A BDD-based Approach;ACM Transactions on Software Engineering and Methodology;2023-04-27

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