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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
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis Kai Chen Chen Gong Tianhao Wang 93 0 0 17 Nov 2025
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control Yuzheng Hu Ryan McKenna Da Yu Shanshan Wu Han Zhao Zheng Xu Peter Kairouz SyDa 154 0 0 21 Oct 2025
Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees Shurong Lin Aleksandra Slavković Deekshith Reddy Bhoomireddy SyDa 137 0 0 19 Oct 2025
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity Ossi Raisa A. Koskela Antti Honkela 89 0 0 26 Sep 2025
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Shuaiqi Wang Vikas Raunak A. Backurs Victor Reis Pei Zhou Sihao Chen Longqi Yang Zinan Lin Sergey Yekhanin Giulia Fanti SyDa 226 2 0 12 Sep 2025
Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives Yinuo Xu Veronica Derricks Allison Earl David Jurgens 169 0 0 04 Aug 2025
Beyond Internal Data: Constructing Complete Datasets for Fairness Testing Varsha Ramineni Hossein A. Rahmani Emine Yilmaz David Barber 122 0 0 24 Jul 2025
Synthetic Tabular Data: Methods, Attacks and DefensesProceedings of the VLDB Endowment (PVLDB), 2025 Graham Cormode Samuel Maddock Enayat Ullah Shripad Gade 208 2 0 06 Jun 2025
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Sofiane Mahiou Amir Dizche Reza Nazari Xinmin Wu Ralph Abbey Jorge Silva Georgi Ganev 122 0 0 31 May 2025
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 390 1 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 357 4 0 09 Apr 2025
P2NIA: Privacy-Preserving Non-Iterative Auditing Jade Garcia Bourrée H. Lautraite Sébastien Gambs Gilles Tredan Erwan Le Merrer Benoit Rottembourg 307 2 0 01 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis Chen Gong Kecen Li Zinan Lin Tianhao Wang 551 9 0 18 Mar 2025
Privacy-Preserving Fair Synthetic Tabular Data Fatima Jahan Sarmin Atiquer R. Rahman Christopher J. Henry Noman Mohammed 213 0 0 04 Mar 2025
Is API Access to LLMs Useful for Generating Private Synthetic Tabular Data? Marika Swanberg Ryan McKenna Edo Roth Albert Cheu Peter Kairouz 299 3 0 10 Feb 2025
Differentially Private Synthetic Data via APIs 3: Using Simulators Instead of Foundation Model Zinan Lin Tadas Baltrusaitis Wenyu Wang Sergey Yekhanin SyDa 397 7 0 08 Feb 2025
Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives Lucas Rosenblatt Bill Howe Julia Stoyanovich 240 2 0 17 Dec 2024
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja Hui-Po Wang Raouf Kerkouche Mario Fritz SyDa 439 3 0 03 Dec 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model TrainingNeural Information Processing Systems (NeurIPS), 2024 Kristjan Greenewald Yuancheng Yu Hao Wang Kai Xu 407 2 0 25 Oct 2024
Privacy-hardened and hallucination-resistant synthetic data generation with logic-solvers Mark A. Burgess Brendan Hosking Roc Reguant Anubhav Kaphle Mitchell J. O'Brien Letitia M. F. Sng Yatish Jain Denis C. Bauer SyDa 22 1 0 22 Oct 2024
Privacy Vulnerabilities in Marginals-based Synthetic Data Steven Golob Sikha Pentyala Anuar Maratkhan Martine De Cock 280 8 0 07 Oct 2024
Defining 'Good': Evaluation Framework for Synthetic Smart Meter Data Sheng Chai Gus Chadney Charlot Avery Phil Grunewald Pascal Van Hentenryck P. Donti 172 7 0 16 Jul 2024
Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey) K. Kenthapadi M. Sameki Ankur Taly HILM ELM AILaw 203 30 0 10 Jul 2024
Synthetic Data: Revisiting the Privacy-Utility Trade-off Fatima Jahan Sarmin Atiquer Rahman Sarkar Yang Wang Noman Mohammed 288 12 0 09 Jul 2024
Synthetic Data Outliers: Navigating Identity Disclosure Carolina Trindade Luís Antunes Tânia Carvalho Nuno Moniz 292 5 0 04 Jun 2024
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data Lan Tao Shi Xu ChiHua Wang Namjoon Suh Guang Cheng 262 6 0 24 May 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 229 2 0 23 May 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 287 1 0 02 May 2024
Privacy-Preserving Instructions for Aligning Large Language Models Da Yu Peter Kairouz Sewoong Oh Zheng Xu 432 33 0 21 Feb 2024
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources Sikha Pentyala Mayana Pereira Martine De Cock 190 3 0 13 Feb 2024
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown Aadyaa Maddi Swadhin Routray Alexander Goldberg Giulia Fanti 162 0 0 31 Jan 2024
Privacy-preserving data release leveraging optimal transport and particle gradient descent Konstantin Donhauser Javier Abad Neha Hulkund Fanny Yang 318 5 0 31 Jan 2024
An Algorithm for Streaming Differentially Private Data Girish Kumar Thomas Strohmer Roman Vershynin 235 2 0 26 Jan 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 149 4 0 18 Dec 2023
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic DataConference on Uncertainty in Artificial Intelligence (UAI), 2023 A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere S. Vansteelandt Thomas Demeester 251 5 0 13 Dec 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular DataPLoS ONE (PLoS ONE), 2023 Mayana Pereira Meghana Kshirsagar Soumendu Sundar Mukherjee Rahul Dodhia J. L. Ferres Rafael de Sousa SyDa 192 14 0 30 Oct 2023
Private Synthetic Data Meets Ensemble Learning Haoyuan Sun Navid Azizan Akash Srivastava Hao Wang SyDa 152 1 0 15 Oct 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated SettingKnowledge Discovery and Data Mining (KDD), 2023 Samuel Maddock Graham Cormode Carsten Maple 233 5 0 05 Oct 2023
A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen Raouf Kerkouche Mario Fritz SyDa 262 6 0 27 Sep 2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 145 10 0 19 Jul 2023
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise L. Arthur Jason W Costello Jonathan Hardy Will O'Brien J. Rea Gareth Rees Georgi Ganev 173 4 0 09 Jul 2023
CuTS: Customizable Tabular Synthetic Data GenerationInternational Conference on Machine Learning (ICML), 2023 Mark Vero Mislav Balunović Martin Vechev 265 8 0 07 Jul 2023
SoK: Privacy-Preserving Data SynthesisIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu Basel Alomair 299 49 0 05 Jul 2023
Diverse Community Data for Benchmarking Data Privacy AlgorithmsNeural Information Processing Systems (NeurIPS), 2023 Aniruddha Sen Christine Task Dhruv Kapur Gary S. Howarth Karan Bhagat 244 5 0 20 Jun 2023
Privately generating tabular data using language models Alexandre Sablayrolles Yue Wang Brian Karrer LMTD 162 5 0 07 Jun 2023
OptimShare: A Unified Framework for Privacy Preserving Data Sharing -- Towards the Practical Utility of Data with Privacy Pathum Chamikara Mahawaga Arachchige Seung Ick Jang I. Oppermann Dongxi Liu Musotto Roberto ... Meisam Mohammady S. Çamtepe Sylvia Young Chris Dorrian Nasir David 217 2 0 06 Jun 2023
Generating Private Synthetic Data with Genetic AlgorithmsInternational Conference on Machine Learning (ICML), 2023 Terrance Liu Jin-Lin Tang G. Vietri Zhiwei Steven Wu SyDa 167 20 0 05 Jun 2023
Harnessing large-language models to generate private synthetic text Alexey Kurakin Natalia Ponomareva Umar Syed Liam MacDermed Seth Neel SILM SyDa 239 54 0 02 Jun 2023
Post-processing Private Synthetic Data for Improving Utility on Selected MeasuresNeural Information Processing Systems (NeurIPS), 2023 Hao Wang Shivchander Sudalairaj J. Henning Kristjan Greenewald Akash Srivastava 217 8 0 24 May 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data GenerationJournal of Information Processing (JIP), 2023 Takayuki Miura Toshiki Shibahara M. Kii Atsunori Ichikawa Juko Yamamoto Koji Chida SyDa 148 0 0 31 Mar 2023