Benchmarking Differentially Private Synthetic Data Generation Algorithms

16 December 2021

Yuchao Tao

Ryan McKenna

Michael Hay

Ashwin Machanavajjhala

G. Miklau

SyDa

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Papers citing "Benchmarking Differentially Private Synthetic Data Generation Algorithms"

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Title
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data Georgi Ganev Meenatchi Sundaram Muthu Selva Annamalai Sofiane Mahiou Emiliano De Cristofaro 24 2 0 09 Apr 2025
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 116 2 0 03 Dec 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 26 3 0 07 Oct 2024
Synthetic Data: Revisiting the Privacy-Utility Trade-off Fatima Jahan Sarmin Atiquer Rahman Sarkar Yang Wang Noman Mohammed 32 3 0 09 Jul 2024
Privacy-Enhanced Database Synthesis for Benchmark Publishing (Technical Report) Yongrui Zhong Yunqing Ge Jianbin Qin Yongrui Zhong Bo Tang Yu-Xuan Qiu Rui Mao Ye Yuan Makoto Onizuka Chuan Xiao 34 0 0 02 May 2024
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 16 7 0 19 Jul 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 94 167 0 01 Mar 2023
Private GANs, Revisited Alex Bie Gautam Kamath Guojun Zhang 21 14 0 06 Feb 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
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation Sérgio Jesus José P. Pombal Duarte M. Alves André F. Cruz Pedro Saleiro Rita P. Ribeiro João Gama P. Bizarro 40 32 0 24 Nov 2022
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry Gonzalo Munilla Garrido Xiaoyuan Liu Florian Matthes D. Song 25 24 0 07 Nov 2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe Xiang Yue Huseyin A. Inan Xuechen Li Girish Kumar Julia McAnallen Hoda Shajari Huan Sun David Levitan Robert Sim 55 79 0 25 Oct 2022
DPVisCreator: Incorporating Pattern Constraints to Privacy-preserving Visualizations via Differential Privacy Jiehui Zhou Xumeng Wang Jason K. Wong Huan Wang Zhong-hua Wang ... Xiaoran Yan H. Feng Huamin Qu Haochao Ying Wei Chen 16 14 0 29 Aug 2022
dpart: Differentially Private Autoregressive Tabular, a General Framework for Synthetic Data Generation Sofiane Mahiou Kai Xu Georgi Ganev SyDa 11 11 0 12 Jul 2022
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN R. V. Bergen Jean-Francois Rajotte F. Yousefirizi Arman Rahmim R. Ng MedIm 25 1 0 13 Jun 2022
Noise-Aware Statistical Inference with Differentially Private Synthetic Data Ossi Raisa Joonas Jälkö Samuel Kaski Antti Honkela SyDa 37 10 0 28 May 2022
MC-GEN:Multi-level Clustering for Private Synthetic Data Generation Mingchen Li Di Zhuang Jerome Chang SyDa 16 6 0 28 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 40 109 0 06 May 2022
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications Jin Li B. Cairns Jingsong Li T. Zhu SyDa 38 68 0 22 Dec 2021
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