Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study

3 December 2021

Papers citing "Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study"

9 / 9 papers shown

Title
Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method Rémy Chapelle Bruno Falissard 35 0 0 10 Oct 2023
30 Years of Synthetic Data Joerg Drechsler Anna Haensch 27 15 0 04 Apr 2023
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata C. Little Mark Elliot Richard Allmendinger 11 9 0 02 Jul 2022
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 123 198 0 16 Feb 2021
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 116 467 0 09 Jun 2018
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
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016