Formal Privacy for Functional Data with Gaussian Perturbations

Ardalan Mirshani; Matthew Reimherr; Aleksandra Slavković

ICML 2019oral26 citations

Formal Privacy for Functional Data with Gaussian Perturbations

Ardalan Mirshani, Matthew Reimherr, Aleksandra Slavković

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Abstract

Motivated by the rapid rise in statistical tools in

BibTeX

@InProceedings{pmlr-v97-mirshani19a,
  title = 	 {Formal Privacy for Functional Data with {G}aussian Perturbations},
  author =       {Mirshani, Ardalan and Reimherr, Matthew and Slavkovi{\'c}, Aleksandra},
  booktitle = 	 {Proceedings of the 36th International Conference on Machine Learning},
  pages = 	 {4595--4604},
  year = 	 {2019},
  editor = 	 {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
  volume = 	 {97},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {09--15 Jun},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v97/mirshani19a/mirshani19a.pdf},
  url = 	 {https://proceedings.mlr.press/v97/mirshani19a.html},
  abstract = 	 {Motivated by the rapid rise in statistical tools in