Differentially Private Synthetic Data Using KD-Trees

19 June 2023

Papers citing "Differentially Private Synthetic Data Using KD-Trees"

7 / 7 papers shown

Title
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 67 115 0 06 May 2022
DP-CGAN: Differentially Private Synthetic Data and Label Generation Reihaneh Torkzadehmahani Peter Kairouz B. Paten SyDa 66 236 0 27 Jan 2020
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data Lorenzo Frigerio Anderson Santana de Oliveira L. Gomez Patrick Duverger SyDa AI4TS 52 110 0 08 Jan 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 186 482 0 09 Jun 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 83 151 0 01 May 2018
Near-Optimal Coresets of Kernel Density Estimates J. M. Phillips W. Tai 44 72 0 06 Feb 2018
Differentially Private Grids for Geospatial Data Wahbeh H. Qardaji Weining Yang Ninghui Li 69 260 0 06 Sep 2012