FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Florian Tramèr, Vaggelis Atlidakis, Roxana Geambasu, Daniel J. Hsu, Jean-Pierre Hubaux, Mathias Humbert, Ari Juels, Huang Lin. FairTest: Discovering Unwarranted Associations in Data-Driven Applications. In 2017 IEEE European Symposium on Security and Privacy, EuroS&P 2017, Paris, France, April 26-28, 2017. pages 401-416, IEEE, 2017. [doi]

@inproceedings{TramerAGHHHJL17,
  title = {FairTest: Discovering Unwarranted Associations in Data-Driven Applications},
  author = {Florian Tramèr and Vaggelis Atlidakis and Roxana Geambasu and Daniel J. Hsu and Jean-Pierre Hubaux and Mathias Humbert and Ari Juels and Huang Lin},
  year = {2017},
  doi = {10.1109/EuroSP.2017.29},
  url = {https://doi.org/10.1109/EuroSP.2017.29},
  researchr = {https://researchr.org/publication/TramerAGHHHJL17},
  cites = {0},
  citedby = {0},
  pages = {401-416},
  booktitle = {2017 IEEE European Symposium on Security and Privacy, EuroS&P 2017, Paris, France, April 26-28, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-5762-7},
}