Local Differential Privacy for Physical Sensor Data and Sparse Recovery

31 May 2017

Papers citing "Local Differential Privacy for Physical Sensor Data and Sparse Recovery"

8 / 8 papers shown

Title
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy Xuebin Ren Chia-Mu Yu Weiren Yu Shusen Yang Xinyu Yang Julie McCann Philip S. Yu 23 108 0 13 Dec 2016
Learning heat diffusion graphs D. Thanou Xiaowen Dong D. Kressner P. Frossard 44 161 0 04 Nov 2016
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 65 211 0 13 Nov 2013
A tail inequality for quadratic forms of subgaussian random vectors Daniel J. Hsu Sham Kakade Tong Zhang 110 420 0 13 Oct 2011
Fast approximation of matrix coherence and statistical leverage P. Drineas M. Magdon-Ismail Michael W. Mahoney David P. Woodruff 140 531 0 18 Sep 2011
Compressive Mechanism: Utilizing Sparse Representation in Differential Privacy Yang D. Li Zhenjie Zhang Marianne Winslett Yifan Yang 51 84 0 18 Jul 2011
Coherence-Based Performance Guarantees for Estimating a Sparse Vector Under Random Noise Z. Ben-Haim Yonina C. Eldar Michael Elad 134 255 0 26 Mar 2009
Simultaneous analysis of Lasso and Dantzig selector Peter J. Bickel Yaácov Ritov Alexandre B. Tsybakov 415 2,529 0 07 Jan 2008