Private Query Release via the Johnson-Lindenstrauss Transform

15 August 2022

Papers citing "Private Query Release via the Johnson-Lindenstrauss Transform"

12 / 12 papers shown

Title
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 113 0 0 30 Nov 2024
Differentially Private Covariance Revisited Wei Dong Yuting Liang K. Yi FedML 48 14 0 28 May 2022
Optimizing error of high-dimensional statistical queries under differential privacy Ryan McKenna G. Miklau Michael Hay Ashwin Machanavajjhala 40 114 0 10 Aug 2018
Renyi Differential Privacy Ilya Mironov 77 1,253 0 24 Feb 2017
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 831 0 06 May 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 68 448 0 06 Mar 2016
An Improved Private Mechanism for Small Databases Aleksandar Nikolov 45 12 0 01 May 2015
Between Pure and Approximate Differential Privacy Thomas Steinke Jonathan R. Ullman FedML 81 159 0 24 Jan 2015
Fingerprinting Codes and the Price of Approximate Differential Privacy Mark Bun Jonathan R. Ullman Salil P. Vadhan FedML 65 211 0 13 Nov 2013
Private Data Release via Learning Thresholds Moritz Hardt G. Rothblum Rocco A. Servedio 55 56 0 13 Jul 2011
Lower bounds in differential privacy Anindya De 75 131 0 12 Jul 2011
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 108 463 0 21 Jul 2009