Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information

Farhad Farokhi, Henrik Sandberg. Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information. In 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017. pages 2692-2697, IEEE, 2017. [doi]

@inproceedings{FarokhiS17,
  title = {Optimal privacy-preserving policy using constrained additive noise to minimize the fisher information},
  author = {Farhad Farokhi and Henrik Sandberg},
  year = {2017},
  doi = {10.1109/CDC.2017.8264050},
  url = {https://doi.org/10.1109/CDC.2017.8264050},
  researchr = {https://researchr.org/publication/FarokhiS17},
  cites = {0},
  citedby = {0},
  pages = {2692-2697},
  booktitle = {56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, December 12-15, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-2873-3},
}