Optimization and abstraction: a synergistic approach for analyzing neural network robustness

Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri. Optimization and abstraction: a synergistic approach for analyzing neural network robustness. In Kathryn S. McKinley, Kathleen Fisher, editors, Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26, 2019. pages 731-744, ACM, 2019. [doi]

@inproceedings{AndersonPDC19,
  title = {Optimization and abstraction: a synergistic approach for analyzing neural network robustness},
  author = {Greg Anderson and Shankara Pailoor and Isil Dillig and Swarat Chaudhuri},
  year = {2019},
  doi = {10.1145/3314221.3314614},
  url = {https://doi.org/10.1145/3314221.3314614},
  researchr = {https://researchr.org/publication/AndersonPDC19},
  cites = {0},
  citedby = {0},
  pages = {731-744},
  booktitle = {Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26, 2019},
  editor = {Kathryn S. McKinley and Kathleen Fisher},
  publisher = {ACM},
  isbn = {978-1-4503-6712-7},
}