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Data mining is frequently obstructed by privacy concerns. In many cases data is distributed, and bringing the data together in one place for analysis is not possible due to privacy laws (e.g. HIPAA) or policies. Privacy preserving data mining techniques have been developed to address this issue by providing mechanisms to mine the data while giving certain privacy guarantees. In this paper we address the issue of privacy preserving nearest neighbor search, which forms the kernel of many datadoi:10.1109/icdmw.2006.133 dblp:conf/icdm/ShaneckKK06 fatcat:wt5bkrfisngcdmdh3qatvbjv74