Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising

Borja Balle, Yu-Xiang Wang. Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. In Jennifer G. Dy, Andreas Krause 0001, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Volume 80 of JMLR Workshop and Conference Proceedings, pages 403-412, JMLR.org, 2018. [doi]

@inproceedings{BalleW18,
  title = {Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising},
  author = {Borja Balle and Yu-Xiang Wang},
  year = {2018},
  url = {http://proceedings.mlr.press/v80/balle18a.html},
  researchr = {https://researchr.org/publication/BalleW18},
  cites = {0},
  citedby = {0},
  pages = {403-412},
  booktitle = {Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018},
  editor = {Jennifer G. Dy and Andreas Krause 0001},
  volume = {80},
  series = {JMLR Workshop and Conference Proceedings},
  publisher = {JMLR.org},
}