PrivBayes: Private Data Release via Bayesian Networks

@article{Zhang2017PrivBayesPD,
  title={PrivBayes: Private Data Release via Bayesian Networks},
  author={Jun Zhang and Graham Cormode and Cecilia M. Procopiuc and Divesh Srivastava and Xiaokui Xiao},
  journal={ACM Trans. Database Syst.},
  year={2017},
  volume={42},
  pages={25:1-25:41}
}
Privacy-preserving data publishing is an important problem that has been the focus of extensive study. The state-of-the-art solution for this problem is differential privacy, which offers a strong degree of privacy protection without making restrictive assumptions about the adversary. Existing techniques using differential privacy, however, cannot effectively handle the publication of high-dimensional data. In particular, when the input dataset contains a large number of attributes, existing… CONTINUE READING
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