Plausible Deniability for Privacy-Preserving Data Synthesis

@article{Bindschaedler2017PlausibleDF,
  title={Plausible Deniability for Privacy-Preserving Data Synthesis},
  author={Vincent Bindschaedler and Reza Shokri and Carl A. Gunter},
  journal={Proc. VLDB Endow.},
  year={2017},
  volume={10},
  pages={481-492}
}
  • Vincent Bindschaedler, Reza Shokri, Carl A. Gunter
  • Published 2017
  • Computer Science, Mathematics
  • Proc. VLDB Endow.
  • Releasing full data records is one of the most challenging problems in data privacy. [...] Key Method Also, it can efficiently be checked by privacy tests. We present mechanisms to generate synthetic datasets with similar statistical properties to the input data and the same format. We study this technique both theoretically and experimentally. A key theoretical result shows that, with proper randomization, the plausible deniability mechanism generates differentially private synthetic data. We demonstrate the…Expand Abstract

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