On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation

28 November 2022

Papers citing "On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation"

9 / 9 papers shown

Title
Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation Samuel Maddock Shripad Gade Graham Cormode Will Bullock 26 0 0 15 Apr 2025
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng LMTD 69 1 0 19 Mar 2025
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng SyDa 54 1 0 31 Oct 2024
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data Yu Xia Chi-Hua Wang Joshua Mabry Guang Cheng ELM 32 4 0 19 Jun 2024
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Models Joshua Ward Chi-Hua Wang Guang Cheng 34 3 0 18 Jun 2024
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting Samuel Maddock Graham Cormode Carsten Maple 29 4 0 05 Oct 2023
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models Ahmed Alaa B. V. Breugel Evgeny S. Saveliev M. Schaar 50 186 0 17 Feb 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 120 197 0 16 Feb 2021
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