A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data

Paul Francis

A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data

Cryptography and Security 2024-03-14 v1

Authors: Paul Francis

Abstract

SynDiffix is a new open-source tool for structured data synthesis. It has anonymization features that allow it to generate multiple synthetic tables while maintaining strong anonymity. Compared to the more common single-table approach, multi-table leads to more accurate data, since only the features of interest for a given analysis need be synthesized. This paper compares SynDiffix with 15 other commercial and academic synthetic data techniques using the SDNIST analysis framework, modified by us to accommodate multi-table synthetic data. The results show that SynDiffix is many times more accurate than other approaches for low-dimension tables, but somewhat worse than the best single-table techniques for high-dimension tables.

Keywords

data warehousing

Cite

@article{arxiv.2403.08463,
  title  = {A Comparison of SynDiffix Multi-table versus Single-table Synthetic Data},
  author = {Paul Francis},
  journal= {arXiv preprint arXiv:2403.08463},
  year   = {2024}
}

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