New Oracle-Efficient Algorithms for Private Synthetic Data Release

Giuseppe Vietri
Giuseppe Vietri
Grace Tian
Grace Tian

ICML, pp. 9765-9774, 2020.

Cited by: 2|Views20
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Abstract:

We present three new algorithms for constructing differentially private synthetic data---a sanitized version of a sensitive dataset that approximately preserves the answers to a large collection of statistical queries. All three algorithms are \emph{oracle-efficient} in the sense that they are computationally efficient when given access...More

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