Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects

Farzana Ahamed Bhuiyan, Stacy J. Prowell, Hossain Shahriar, Fan Wu 0013, Akond Rahman. Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects. In Hong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi, Alfredo Cuzzocrea, Hiroki Kashiwazaki, Dave Towey, Ji-Jiang Yang, Hossain Shahriar, editors, 46th IEEE Annual Computers, Software, and Applications Conferenc, COMPSAC 2022, Los Alamitos, CA, USA, June 27 - July 1, 2022. pages 798-808, IEEE, 2022. [doi]

@inproceedings{BhuiyanPSWR22,
  title = {Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects},
  author = {Farzana Ahamed Bhuiyan and Stacy J. Prowell and Hossain Shahriar and Fan Wu 0013 and Akond Rahman},
  year = {2022},
  doi = {10.1109/COMPSAC54236.2022.00130},
  url = {https://doi.org/10.1109/COMPSAC54236.2022.00130},
  researchr = {https://researchr.org/publication/BhuiyanPSWR22},
  cites = {0},
  citedby = {0},
  pages = {798-808},
  booktitle = {46th IEEE Annual Computers, Software, and Applications Conferenc, COMPSAC 2022, Los Alamitos, CA, USA, June 27 - July 1, 2022},
  editor = {Hong Va Leong and Sahra Sedigh Sarvestani and Yuuichi Teranishi and Alfredo Cuzzocrea and Hiroki Kashiwazaki and Dave Towey and Ji-Jiang Yang and Hossain Shahriar},
  publisher = {IEEE},
  isbn = {978-1-6654-8810-5},
}