BET: black-box efficient testing for convolutional neural networks

Jialai Wang, Han Qiu 0008, Yi Rong, Hengkai Ye, Qi Li, Zongpeng Li, Chao Zhang. BET: black-box efficient testing for convolutional neural networks. In Sukyoung Ryu, Yannis Smaragdakis, editors, ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18 - 22, 2022. pages 164-175, ACM, 2022. [doi]

@inproceedings{Wang0RYLLZ22,
  title = {BET: black-box efficient testing for convolutional neural networks},
  author = {Jialai Wang and Han Qiu 0008 and Yi Rong and Hengkai Ye and Qi Li and Zongpeng Li and Chao Zhang},
  year = {2022},
  doi = {10.1145/3533767.3534386},
  url = {https://doi.org/10.1145/3533767.3534386},
  researchr = {https://researchr.org/publication/Wang0RYLLZ22},
  cites = {0},
  citedby = {0},
  pages = {164-175},
  booktitle = {ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18 - 22, 2022},
  editor = {Sukyoung Ryu and Yannis Smaragdakis},
  publisher = {ACM},
  isbn = {978-1-4503-9379-9},
}