ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.03339
  4. Cited By
Comparing the Utility and Disclosure Risk of Synthetic Data with Samples
  of Microdata

Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata

2 July 2022
C. Little
Mark Elliot
Richard Allmendinger
ArXivPDFHTML

Papers citing "Comparing the Utility and Disclosure Risk of Synthetic Data with Samples of Microdata"

5 / 5 papers shown
Title
Generative Adversarial Networks for Synthetic Data Generation: A
  Comparative Study
Generative Adversarial Networks for Synthetic Data Generation: A Comparative Study
C. Little
Mark Elliot
Richard Allmendinger
Sahel Shariati Samani
37
20
0
03 Dec 2021
CTAB-GAN: Effective Table Data Synthesizing
CTAB-GAN: Effective Table Data Synthesizing
Zilong Zhao
A. Kunar
H. V. D. Scheer
Robert Birke
L. Chen
CML
169
199
0
16 Feb 2021
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CML
MU
SyDa
GAN
106
1,248
0
01 Jul 2019
Generating Multi-Categorical Samples with Generative Adversarial
  Networks
Generating Multi-Categorical Samples with Generative Adversarial Networks
R. Camino
Christian A. Hammerschmidt
R. State
SyDa
GAN
38
71
0
03 Jul 2018
Data Synthesis based on Generative Adversarial Networks
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
1