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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.
Health stats visible at Monitor.