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» Privacy-preserving data integration and sharing
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VLDB
2006
ACM
122views Database» more  VLDB 2006»
14 years 7 months ago
A secure distributed framework for achieving k-anonymity
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
Wei Jiang, Chris Clifton
ICDE
2012
IEEE
221views Database» more  ICDE 2012»
11 years 9 months ago
DPCube: Releasing Differentially Private Data Cubes for Health Information
—We demonstrate DPCube, a component in our Health Information DE-identification (HIDE) framework, for releasing differentially private data cubes (or multi-dimensional histogram...
Yonghui Xiao, James J. Gardner, Li Xiong
DAWAK
2007
Springer
14 years 1 months ago
Computing Join Aggregates over Private Tables
We propose a privacy-preserving protocol for computing aggregation queries over the join of private tables. In this problem, several parties wish to share aggregated information ov...
Rong She, Ke Wang, Ada Wai-Chee Fu, Yabo Xu
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
14 years 7 months ago
Privacy-preserving cox regression for survival analysis
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
CIKM
2009
Springer
14 years 23 hour ago
A novel approach for privacy mining of generic basic association rules
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
Moez Waddey, Pascal Poncelet, Sadok Ben Yahia