An SMT-Based Approach for Verifying Binarized Neural Networks

Guy Amir, Haoze Wu 0001, Clark W. Barrett, Guy Katz. An SMT-Based Approach for Verifying Binarized Neural Networks. In Jan Friso Groote, Kim Guldstrand Larsen, editors, Tools and Algorithms for the Construction and Analysis of Systems - 27th International Conference, TACAS 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 - April 1, 2021, Proceedings, Part II. Volume 12652 of Lecture Notes in Computer Science, pages 203-222, Springer, 2021. [doi]

@inproceedings{Amir0BK21,
  title = {An SMT-Based Approach for Verifying Binarized Neural Networks},
  author = {Guy Amir and Haoze Wu 0001 and Clark W. Barrett and Guy Katz},
  year = {2021},
  doi = {10.1007/978-3-030-72013-1_11},
  url = {https://doi.org/10.1007/978-3-030-72013-1_11},
  researchr = {https://researchr.org/publication/Amir0BK21},
  cites = {0},
  citedby = {0},
  pages = {203-222},
  booktitle = {Tools and Algorithms for the Construction and Analysis of Systems - 27th International Conference, TACAS 2021, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 - April 1, 2021, Proceedings, Part II},
  editor = {Jan Friso Groote and Kim Guldstrand Larsen},
  volume = {12652},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-72013-1},
}