Tools for Privacy Preserving Kernel Methods in Data Mining

H. Wan and H. He (PRC)


Privacy Preserving, Data Mining, Kernel Methods


We provide an overview of the emerging issues in privacy preserving data mining. Also we develop solutions for two secure two-party computing problems. Many of the re search issues focus on underlying blocks, we show how to integrate them with kernel methods in classiļ¬cations. We evaluate their performance, privacy capacity, and draw some initial conclusions.

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