Jim Dowd

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Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacy-preserving decision tree mining method explored in the pioneer paper [1] was recently showed to be completely broken, because its data perturbation technique is fundamentally flawed [2]. However, since the general framework(More)
Privacy-preserving data mining has become an important topic, and many methods have been proposed for a diverse set of privacy-preserving data mining tasks. However, privacy-preserving decision tree mining pioneered by [1] still remains to be elusive. Indeed, the work of [1] was recently showed to be awed [2], meaning that an adversary can actually recover(More)
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