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» Privacy Preserving Group Linkage
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ATAL
2007
Springer
14 years 1 months ago
SSDPOP: improving the privacy of DCOP with secret sharing
Multi-agent systems designed to work collaboratively with groups of people typically require private information that people will entrust to them only if they have assurance that ...
Rachel Greenstadt, Barbara J. Grosz, Michael D. Sm...
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
GRC
2007
IEEE
14 years 1 months ago
Towards Mobile Internet: Location Privacy Threats and Granular Computation Challenges
The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the Mobile Internet Computing e...
Ling Liu
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
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 5 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...