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CIS
2005
Springer
15 years 4 months ago
An Improved EMASK Algorithm for Privacy-Preserving Frequent Pattern Mining
Abstract. As a novel research direction, privacy-preserving data mining (PPDM) has received a great deal of attentions from more and more researchers, and a large number of PPDM al...
Congfu Xu, Jinlong Wang, Hongwei Dan, Yunhe Pan
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
15 years 11 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
14 years 9 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
SRDS
2006
IEEE
15 years 5 months ago
How To Safeguard Your Sensitive Data
In order to safeguard a sensitive database, we must ensure both its privacy and its longevity. However, privacy and longevity tend to be competing objectives. We show how to desig...
Bob Mungamuru, Hector Garcia-Molina, Subhasish Mit...
OTM
2007
Springer
15 years 5 months ago
Spontaneous Privacy Policy Negotiations in Pervasive Environments
Abstract. Privacy issues are a major burden for the acceptance of pervasive applications. They may ultimately result in the rejection of new services despite their functional beneï...
Sören Preibusch