synthpriv¶
Tabular data synthesis preserving differential privacy: generators
(dp-gan with DP-SGD, dp-copula with pure DP), DP marginal ECDFs,
benchmark and budget sweep, and an HTML privacy/utility report. Built on
SDV, SDMetrics and Opacus.
Note
Synthetic data without DP is not guaranteed anonymization. Formal
protection only comes from training with a DP mechanism
(DPSGD) and verifying it with
assert_dp().
Install with:
pip install synthpriv
Reference