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Synthetic Data Generation

Synthetic data generation is a statistical disclosure limitation technique introduced by Donald Rubin in 1993, in which values in a confidential dataset are replaced by draws from a fitted posterior predictive distribution rather than released directly. The resulting artificial records preserve the joint statistical structure of the original data while preventing the identification of real individuals, enabling analysts to work with a publicly releasable dataset that behaves like the original for most inferential purposes.

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Synthetic Data Generation for Disclosure Control

Rekod kaedah taksonomik · ml-model / privacy

Rubin, D. B. (1993). Statistical disclosure limitation. Journal of Official Statistics, 9(2), 461–468. · URL

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Taxonomic bucketDifferential Privacymachine-suggested · Relational suggestion, not evidence.Same method familyGenerative Adversarial Networkmachine-suggested · Relational suggestion, not evidence.See alsoMultiple Imputationmachine-suggested · Relational suggestion, not evidence.