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synthesize(): Parametric (Gaussian copula), bootstrap
with noise injection, and Laplace noise perturbation methods.validate_synthetic(): Distributional similarity (KS),
correlation preservation, discriminative accuracy (AUC), and
nearest-neighbor privacy ratio.compare_methods(): Benchmark all three synthesis
methods on the same dataset.privacy_risk(): Re-identification risk assessment via
nearest-neighbor distance ratio, membership inference, and attribute
disclosure.model_fidelity(): Train-on-synthetic, test-on-real
predictive performance comparison.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.