Differentially Private Synthetic Data: Applied Evaluations and
Enhancements

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

11 November 2020

Lucas Rosenblatt

Samira Pouyanfar

Eduardo de Leon

Papers citing "Differentially Private Synthetic Data: Applied Evaluations and Enhancements"

9 / 9 papers shown

Title
Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data Chih-Cheng Rex Yuan Bow-Yaw Wang 52 0 0 30 Apr 2025
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation Rodrigo Castellon Achintya Gopal Brian Bloniarz David S. Rosenberg 26 8 0 19 Jul 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 42 32 0 24 Nov 2022
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data Oscar Giles Kasra Hosseini Grigorios Mingas Oliver Strickson Louise A. Bowler ... A. Heppenstall N. Lomax N. Malleson Martin O'Reilly Sebastian Vollmerteke 23 8 0 02 Mar 2022
Benchmarking Differentially Private Synthetic Data Generation Algorithms Yuchao Tao Ryan McKenna Michael Hay Ashwin Machanavajjhala G. Miklau SyDa 33 83 0 16 Dec 2021
Lifelong Vehicle Trajectory Prediction Framework Based on Generative Replay Peng Bao Zonghai Chen Ji-kai Wang Deyun Dai Hao Zhao 38 9 0 15 Nov 2021
Foundations of Bayesian Learning from Synthetic Data H. Wilde Jack Jewson Sebastian J. Vollmer Chris Holmes 17 15 0 16 Nov 2020
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 119 470 0 09 Jun 2018