Relaxed Marginal Consistency for Differentially Private Query Answering

13 September 2021

Papers citing "Relaxed Marginal Consistency for Differentially Private Query Answering"

9 / 9 papers shown

Title
NetDPSyn: Synthesizing Network Traces under Differential Privacy Danyu Sun Joann Qiongna Chen Chen Gong Tianhao Wang Zhou Li 52 1 0 08 Sep 2024
Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data Miguel Fuentes Brett Mullins Ryan McKenna G. Miklau Daniel Sheldon 35 4 0 12 Mar 2024
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation Vishal Ramesh Rui Zhao Naman Goel 26 1 0 30 Oct 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 25 5 0 17 May 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions Yingtai Xiao Guanlin He Danfeng Zhang Daniel Kifer 29 4 0 14 May 2023
On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation Yucong Liu ChiHua Wang Guang Cheng 29 7 0 28 Nov 2022
Private Synthetic Data for Multitask Learning and Marginal Queries G. Vietri Cédric Archambeau Sergul Aydore William Brown Michael Kearns Aaron Roth Ankit Siva Shuai Tang Zhiwei Steven Wu SyDa 28 29 0 15 Sep 2022
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions Omri Ben-Eliezer Dan Mikulincer Ilias Zadik FedML 47 7 0 15 Aug 2022
Leveraging Public Data for Practical Private Query Release Terrance Liu G. Vietri Thomas Steinke Jonathan R. Ullman Zhiwei Steven Wu 155 58 0 17 Feb 2021