Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks

Zhaodi Zhang, Yiting Wu, Si Liu, Jing Liu, Min Zhang. Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks. In 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022. ACM, 2022. [doi]

@inproceedings{ZhangWLLZ22,
  title = {Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks},
  author = {Zhaodi Zhang and Yiting Wu and Si Liu and Jing Liu and Min Zhang},
  year = {2022},
  doi = {10.1145/3551349.3556907},
  url = {https://doi.org/10.1145/3551349.3556907},
  researchr = {https://researchr.org/publication/ZhangWLLZ22},
  cites = {0},
  citedby = {0},
  booktitle = {37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022},
  publisher = {ACM},
  isbn = {978-1-4503-9475-8},
}