How Protective Are Synthetic Data?

@inproceedings{Abowd2008HowPA,
  title={How Protective Are Synthetic Data?},
  author={John M. Abowd and Lars Vilhuber},
  booktitle={Privacy in Statistical Databases},
  year={2008}
}
This short paper provides a synthesis of the statistical disclosure limitation and computer science data privacy approaches to measuring the confidentiality protections provided by fully synthetic data. Since all elements of the data records in the release file derived from fully synthetic data are sampled from an appropriate probability distribution, they do not represent “real data,” but there is still a disclosure risk. In SDL this risk is summarized by the inferential disclosure probability… CONTINUE READING
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D. B. Rubin
Journal of Official Statistics, • 1993
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