Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability

Diego Montes, Pongpatapee Peerapatanapokin, Jeff Schultz, Chengjun Guo, Wenxin Jiang, James C. Davis. Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability. In Abhik Roychoudhury, Cristian Cadar, Miryung Kim, editors, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022. pages 1605-1609, ACM, 2022. [doi]

@inproceedings{MontesPSGJD22,
  title = {Discrepancies among pre-trained deep neural networks: a new threat to model zoo reliability},
  author = {Diego Montes and Pongpatapee Peerapatanapokin and Jeff Schultz and Chengjun Guo and Wenxin Jiang and James C. Davis},
  year = {2022},
  doi = {10.1145/3540250.3560881},
  url = {https://doi.org/10.1145/3540250.3560881},
  researchr = {https://researchr.org/publication/MontesPSGJD22},
  cites = {0},
  citedby = {0},
  pages = {1605-1609},
  booktitle = {Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022},
  editor = {Abhik Roychoudhury and Cristian Cadar and Miryung Kim},
  publisher = {ACM},
  isbn = {978-1-4503-9413-0},
}