Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security

Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang 0002, Xiangyu Zhang 0001. Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security. In 43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022. pages 1372-1389, IEEE, 2022. [doi]

@inproceedings{TaoLSXA0022,
  title = {Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security},
  author = {Guanhong Tao and Yingqi Liu and Guangyu Shen and Qiuling Xu and Shengwei An and Zhuo Zhang 0002 and Xiangyu Zhang 0001},
  year = {2022},
  doi = {10.1109/SP46214.2022.9833688},
  url = {https://doi.org/10.1109/SP46214.2022.9833688},
  researchr = {https://researchr.org/publication/TaoLSXA0022},
  cites = {0},
  citedby = {0},
  pages = {1372-1389},
  booktitle = {43rd IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, USA, May 22-26, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-1316-9},
}