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. 2305.15538
  4. Cited By
Post-processing Private Synthetic Data for Improving Utility on Selected
  Measures

Post-processing Private Synthetic Data for Improving Utility on Selected Measures

24 May 2023
Hao Wang
Shivchander Sudalairaj
J. Henning
Kristjan Greenewald
Akash Srivastava
ArXivPDFHTML

Papers citing "Post-processing Private Synthetic Data for Improving Utility on Selected Measures"

3 / 3 papers shown
Title
Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
24
57
0
23 Sep 2021
Leveraging Public Data for Practical Private Query Release
Leveraging Public Data for Practical Private Query Release
Terrance Liu
G. Vietri
Thomas Steinke
Jonathan R. Ullman
Zhiwei Steven Wu
142
58
0
17 Feb 2021
Private Post-GAN Boosting
Private Post-GAN Boosting
Marcel Neunhoeffer
Zhiwei Steven Wu
Cynthia Dwork
100
29
0
23 Jul 2020
1