One Step to Efficient Synthetic Data

3 June 2020

Papers citing "One Step to Efficient Synthetic Data"

15 / 15 papers shown

Title
Debiasing Synthetic Data Generated by Deep Generative Models A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere Thomas Demeester S. Vansteelandt AI4CE 77 0 0 06 Nov 2024
Data Augmentation MCMC for Bayesian Inference from Privatized Data Nianqiao P. Ju Jordan Awan Ruobin Gong Vinayak A. Rao 66 25 0 01 Jun 2022
Parametric Bootstrap for Differentially Private Confidence Intervals Cecilia Ferrando Shufan Wang Daniel Sheldon 49 40 0 14 Jun 2020
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation Frederik Harder Kamil Adamczewski Mijung Park SyDa 143 101 0 26 Feb 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 81 100 0 21 Feb 2020
KNG: The K-Norm Gradient Mechanism M. Reimherr Jordan Awan 70 23 0 23 May 2019
Differentially Private Inference for Binomial Data Jordan Awan Aleksandra B. Slavkovic 36 24 0 31 Mar 2019
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 60 53 0 23 May 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 92 501 0 19 Feb 2018
Conditional fiducial models G. Taraldsen B. Lindqvist 32 8 0 02 Nov 2017
Renyi Differential Privacy Ilya Mironov 88 1,266 0 24 Feb 2017
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 92 839 0 06 May 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 80 453 0 06 Mar 2016
Differential Privacy for Functions and Functional Data Rob Hall Alessandro Rinaldo Larry A. Wasserman 97 183 0 12 Mar 2012
What Can We Learn Privately? S. Kasiviswanathan Homin K. Lee Kobbi Nissim Sofya Raskhodnikova Adam D. Smith 137 1,474 0 06 Mar 2008