Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

6 December 2019

Papers citing "Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning"

7 / 7 papers shown

Title
PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Model Haiming Wang Zhikun Zhang Tianhao Wang Shibo He Michael Backes Jiming Chen Yang Zhang 38 35 0 02 Oct 2022
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 37 57 0 23 Sep 2021
DPSyn: Experiences in the NIST Differential Privacy Data Synthesis Challenges Ninghui Li Zhikun Zhang Tianhao Wang 13 17 0 24 Jun 2021
Synthesizing Property & Casualty Ratemaking Datasets using Generative Adversarial Networks Marie-Pier Côté Brian Hartman Olivier Mercier Joshua Meyers Jared Cummings Elijah Harmon GAN SyDa 33 8 0 13 Aug 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 569 0 19 Mar 2017
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016