Leveraging Unique CPS Properties to Design Better Privacy-Enhancing Algorithms

Leveraging Unique CPS Properties to Design Better Privacy-Enhancing Algorithms. Giraldo, J., Cárdenas, A. A., & Kantarcioglu, M. In Proceedings of the Hot Topics in Science of Security: Symposium and Bootcamp, HoTSoS 2017, Hanover, MD, USA, April 4-5, 2017, pages 1–12, 2017. ACM.

Paper doi bibtex

@inproceedings{DBLP:conf/hotsos/GiraldoCK17,
  author       = {Jairo Giraldo and
                  Alvaro A. C{\'{a}}rdenas and
                  Murat Kantarcioglu},
  title        = {Leveraging Unique {CPS} Properties to Design Better Privacy-Enhancing
                  Algorithms},
  booktitle    = {Proceedings of the Hot Topics in Science of Security: Symposium and
                  Bootcamp, HoTSoS 2017, Hanover, MD, USA, April 4-5, 2017},
  pages        = {1--12},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3055305.3055313},
  doi          = {10.1145/3055305.3055313},
  timestamp    = {Thu, 02 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/hotsos/GiraldoCK17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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