PrivBayes paper presented at SIGMOD 2014

The paper “Privbayes: Private data release via bayesian networks” was presented at the ACM SIGMOD 2014 conference in Utah in June 2014. The paper is a collaboration between Graham Cormode (University of Warwick), Magda Procopiuc, Divesh Srivastava (AT&T Labs Research), Xiaokui Xiao, and Jun Zhang (NTU Singapore). It shows how the private data can be released under the model of differential privacy while preserving much of the original structure of the original data, by using the model of Bayesian networks. These identify the important correlations between attributes in the data, while avoiding the “curse of dimensionality”.

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