DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms. (arXiv:2309.08574v1 [cs.DB])

Synthetic data generation methods, and in particular, private synthetic data
generation methods, are gaining popularity as a means to make copies of
sensitive databases that can be shared widely for research and data analysis.
Some of the fundamental operations in data analysis include analyzing
aggregated statistics, e.g., count, sum, or median, on a subset of data
satisfying some conditions. When synthetic data is generated, users may be
interested in knowing if their aggregated queries generating such statistics
can be reliably …

analysis box data data analysis databases generated operations private query research sensitive statistics synthetic synthetic data