PrivBayes: Private Data Release via Bayesian Networks

  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.},
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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