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PreFair: Privately Generating Justifiably Fair Synthetic Data. (arXiv:2212.10310v1 [cs.CR])
Dec. 21, 2022, 2:10 a.m. | David Pujol, Amir Gilad, Ashwin Machanavajjhala
cs.CR updates on arXiv.org arxiv.org
When a database is protected by Differential Privacy (DP), its usability is
limited in scope. In this scenario, generating a synthetic version of the data
that mimics the properties of the private data allows users to perform any
operation on the synthetic data, while maintaining the privacy of the original
data. Therefore, multiple works have been devoted to devising systems for DP
synthetic data generation. However, such systems may preserve or even magnify
properties of the data that make it …
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