Improved Incremental Verification for Neural Networks

Author:

Tang Xuezhou

Publisher

Springer Nature Switzerland

Reference33 articles.

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2. Ivan (2023). https://github.com/uiuc-focal-lab/IVAN

3. Bak, S., Liu, C., Johnson, T.T.: The second international verification of neural networks competition (VNN-COMP 2021): summary and results. CoRR abs/2109.00498 (2021). https://arxiv.org/abs/2109.00498

4. Balunovic, M., Vechev, M.: Adversarial training and provable defenses: Bridging the gap. In: International Conference on Learning Representations (2019)

5. Beyer, D., Löwe, S., Novikov, E., Stahlbauer, A., Wendler, P.: Precision reuse for efficient regression verification. In: Proceedings of the 2013 9th Joint Meeting on Foundations of Software Engineering, pp. 389–399 (2013)

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