AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning

Jinyuan Jia, Neil Zhenqiang Gong. AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning. In William Enck, Adrienne Porter Felt, editors, 27th USENIX Security Symposium, USENIX Security 2018, Baltimore, MD, USA, August 15-17, 2018. pages 513-529, USENIX Association, 2018. [doi]

@inproceedings{JiaG18,
  title = {AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning},
  author = {Jinyuan Jia and Neil Zhenqiang Gong},
  year = {2018},
  url = {https://www.usenix.org/conference/usenixsecurity18/presentation/jia-jinyuan},
  researchr = {https://researchr.org/publication/JiaG18},
  cites = {0},
  citedby = {0},
  pages = {513-529},
  booktitle = {27th USENIX Security Symposium, USENIX Security 2018, Baltimore, MD, USA, August 15-17, 2018},
  editor = {William Enck and Adrienne Porter Felt},
  publisher = {USENIX Association},
}