SoK: Privacy-Preserving Data Synthesis

This website contains the supplementary information for our paper “SoK: Privacy-Preserving Data Synthesis”, accepted at IEEE S&P 2024.

Main paper: ArXiv link

Authors: Yuzheng Hu*, Fan Wu*, Qinbin Li, Yunhui Long, Gonzalo Munilla Garrido, Chang Ge, Bolin Ding, David Forsyth, Bo Li, Dawn Song

Contact: Yuzheng Hu <yh46@illinois.edu> and Fan Wu <fanw6@illinois.edu>

1. Data Utility and Fidelity Measures

2. Evaluation

2.1 Additional Details on Experimental Setups

2.2 Additional Experimental Results

2.3 Additional Conclusions

2.4 Issues with Existing Repositories