Reluplex: a calculus for reasoning about deep neural networks

Guy Katz, Clark W. Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer. Reluplex: a calculus for reasoning about deep neural networks. Formal Methods in System Design, 60(1):87-116, February 2022. [doi]

@article{KatzBDJK22,
  title = {Reluplex: a calculus for reasoning about deep neural networks},
  author = {Guy Katz and Clark W. Barrett and David L. Dill and Kyle Julian and Mykel J. Kochenderfer},
  year = {2022},
  month = {February},
  doi = {10.1007/s10703-021-00363-7},
  url = {https://doi.org/10.1007/s10703-021-00363-7},
  researchr = {https://researchr.org/publication/KatzBDJK22},
  cites = {0},
  citedby = {0},
  journal = {Formal Methods in System Design},
  volume = {60},
  number = {1},
  pages = {87-116},
}