USENIX Security '22 - Synthetic Data – Anonymisation Groundhog Day

USENIX Security '22 - Synthetic Data – Anonymisation Groundhog Day

Theresa Stadler, EPFL; Bristena Oprisanu, UCL; Carmela Troncoso, EPFL

Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The promise is that synthetic data drawn from generative models preserves the statistical properties of the original dataset but, at the same time, provides perfect protection against privacy attacks. In this work, we present the first quantitative evaluation of the …

data security synthetic data usenix