Concolic testing for deep neural networks

Author:

Sun Youcheng1,Wu Min1,Ruan Wenjie1,Huang Xiaowei2,Kwiatkowska Marta1,Kroening Daniel1

Affiliation:

1. University of Oxford, UK

2. University of Liverpool, UK

Publisher

ACM

Reference30 articles.

1. Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arXiv preprint arXiv:1701.07875 (2017). Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arXiv preprint arXiv:1701.07875 (2017).

2. Charles Audet and Warren Hare. 2017. Derivative-Free and Blackbox Optimization. Springer. Charles Audet and Warren Hare. 2017. Derivative-Free and Blackbox Optimization. Springer.

3. Radu Balan Maneesh Singh and Dongmian Zou. 2017. Lipschitz Properties for Deep Convolutional Networks. arXiv preprint arXiv:1701.05217 (2017). Radu Balan Maneesh Singh and Dongmian Zou. 2017. Lipschitz Properties for Deep Convolutional Networks. arXiv preprint arXiv:1701.05217 (2017).

4. Heuristics for Scalable Dynamic Test Generation

5. KLEE: Unassisted and Automatic Generation of High-Coverage Tests for Complex Systems Programs;Cadar Cristian;OSDI,2008

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