English

When Synthetic Data Met Regulation

Machine Learning 2023-07-04 v1 Artificial Intelligence Cryptography and Security Computers and Society

Abstract

In this paper, we argue that synthetic data produced by Differentially Private generative models can be sufficiently anonymized and, therefore, anonymous data and regulatory compliant.

Cite

@article{arxiv.2307.00359,
  title  = {When Synthetic Data Met Regulation},
  author = {Georgi Ganev},
  journal= {arXiv preprint arXiv:2307.00359},
  year   = {2023}
}

Comments

Accepted to the 1st Workshop on Generative AI and Law (GenLaw 2023), part of ICML 2023

R2 v1 2026-06-28T11:19:45.104Z