Differentially Private K-Means Clustering

@inproceedings{Su2016DifferentiallyPK,
  title={Differentially Private K-Means Clustering},
  author={Dong Su and Jianneng Cao and Ninghui Li and Elisa Bertino and Hongxia Jin},
  booktitle={CODASPY},
  year={2016}
}
There are two broad approaches for differentially private data analysis. The interactive approach aims at developing customized differentially private algorithms for various data mining tasks. The non-interactive approach aims at developing differentially private algorithms that can output a synopsis of the input dataset, which can then be used to support various data mining tasks. In this paper we study the effectiveness of the two approaches on differentially private k-means clustering. We… CONTINUE READING
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