Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks

Yingying Zhang, Hongyang Yan, Guanbiao Lin, Shiyu Peng, Zhenxin Zhang, Yufeng Wang. Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks. In Xiaofeng Chen 0001, Xinyi Huang 0001, Miroslaw Kutylowski, editors, Security and Privacy in Social Networks and Big Data - 8th International Symposium, SocialSec 2022, Xi'an, China, October 16-18, 2022, Proceedings. Volume 1663 of Communications in Computer and Information Science, pages 294-306, Springer, 2022. [doi]

@inproceedings{ZhangYLPZW22,
  title = {Squeeze-Loss: A Utility-Free Defense Against Membership Inference Attacks},
  author = {Yingying Zhang and Hongyang Yan and Guanbiao Lin and Shiyu Peng and Zhenxin Zhang and Yufeng Wang},
  year = {2022},
  doi = {10.1007/978-981-19-7242-3_19},
  url = {https://doi.org/10.1007/978-981-19-7242-3_19},
  researchr = {https://researchr.org/publication/ZhangYLPZW22},
  cites = {0},
  citedby = {0},
  pages = {294-306},
  booktitle = {Security and Privacy in Social Networks and Big Data - 8th International Symposium, SocialSec 2022, Xi'an, China, October 16-18, 2022, Proceedings},
  editor = {Xiaofeng Chen 0001 and Xinyi Huang 0001 and Miroslaw Kutylowski},
  volume = {1663},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-19-7242-3},
}