Statistical Theory of Differentially Private Marginal-based Data
Synthesis Algorithms

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Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms

21 January 2023

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Papers citing "Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms"

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Title
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 152 5 0 17 May 2023
Winning the NIST Contest: A scalable and general approach to differentially private synthetic data Ryan McKenna G. Miklau Daniel Sheldon SyDa 59 126 0 11 Aug 2021
PrivSyn: Differentially Private Data Synthesis Zhikun Zhang Tianhao Wang Ninghui Li Jean Honorio Michael Backes Shibo He Jiming Chen Yang Zhang SyDa 56 64 0 30 Dec 2020
Graphical-model based estimation and inference for differential privacy Ryan McKenna Daniel Sheldon G. Miklau 63 144 0 26 Jan 2019
Measuring the quality of Synthetic data for use in competitions James Jordon Jinsung Yoon M. Schaar 46 32 0 29 Jun 2018
Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs Cristóbal Esteban Stephanie L. Hyland Gunnar Rätsch GAN SyDa MedIm 112 791 0 08 Jun 2017
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 96 75 0 10 Apr 2017
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 1,996 0 25 Jul 2014
$Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard$ Answering n^{2+o(1)} Counting Queries with Differential Privacy is Hard Jonathan R. Ullman 98 99 0 30 Jul 2012
On the Geometry of Differential Privacy Moritz Hardt Kunal Talwar 116 464 0 21 Jul 2009
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 121 486 0 16 Nov 2008

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