Date: 2012/9/10
Place: Collaboration Room #7 15:30 -
Name: Hiroaki Kikuchi
Tokai University
Title: Trend and principle - privacy-preserving data mining
PPDM is a methodology to allow distributed parties
to perform a variety of data mining algorithm without
revealing each dataset. Studies are classified into
1) cryptographic approach, using homomorphic encryption
and secure multiparty computation, 2) random perturbation
approach, based on Bayes theorem and randomization
algorithms, 3) k-anonymity model, 4) downgrading.
After presenting the principals for these approaches,
some update topics is given.
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