ICML 2019oral27 citations

Sublinear Space Private Algorithms Under the Sliding Window Model

Jalaj Upadhyay

Abstract

The Differential privacy overview of Apple states, “Apple retains the collected data for a maximum of three months." Analysis of recent data is formalized by the

BibTeX
@InProceedings{pmlr-v97-upadhyay19a,
  title = 	 {Sublinear Space Private Algorithms Under the Sliding Window Model},
  author =       {Upadhyay, Jalaj},
  booktitle = 	 {Proceedings of the 36th International Conference on Machine Learning},
  pages = 	 {6363--6372},
  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/upadhyay19a/upadhyay19a.pdf},
  url = 	 {https://proceedings.mlr.press/v97/upadhyay19a.html},
  abstract = 	 {The Differential privacy overview of Apple states, “Apple retains the collected data for a maximum of three months." Analysis of recent data is formalized by the
Sublinear Space Private Algorithms Under the Sliding Window Model · ICML 2019