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SoK: Reconstruction Attacks on Synthetic Tabular Data (Insights from Winning the NIST CRC)

Golob, Steven et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learning
Synthetic data is increasingly promoted as a privacy-preserving substitute for releasing sensitive tabular records, yet its central adversarial threat (reconstruction, the recovery of an individual's hidden attribute values from a synthetic release and a handful of known quasi-identifiers) has been
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