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ISI
2008
Springer
13 years 7 months ago
A framework for privacy-preserving cluster analysis
Abstract--Releasing person-specific data could potentially reveal sensitive information of individuals. k-anonymization is a promising privacy protection mechanism in data publishi...
Benjamin C. M. Fung, Ke Wang, Lingyu Wang, Mourad ...
EEE
2004
IEEE
13 years 11 months ago
A Privacy-Friendly Loyalty System for Electronic Marketplaces
Loyalty systems provide an interesting possibility for vendors in customer relationship management. This holds for both real world and online vendors. Beside potential benefits of...
Matthias Enzmann, Markus Schneider 0002
ICDE
2012
IEEE
221views Database» more  ICDE 2012»
11 years 10 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
CIKM
2005
Springer
14 years 1 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
ACSW
2007
13 years 9 months ago
A Privacy Enhancing Mechanism based on Pseudonyms for Identity Protection in Location-Based Services
Over the past years Mobile Business has gained significant progress not only because of higher transfer rates as well as advanced processing power and memory capabilities of netw...
Oliver Jorns, Gerald Quirchmayr, Oliver Jung