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» Privacy Preserving Collaborative Data Mining
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CSE
2009
IEEE
14 years 3 months ago
Noise Injection for Search Privacy Protection
Abstract—Extensive work has been devoted to private information retrieval and privacy preserving data mining. To protect user privacy from search engines, however, most current a...
Shaozhi Ye, Shyhtsun Felix Wu, Raju Pandey, Hao Ch...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
14 years 10 months ago
On Randomization, Public Information and the Curse of Dimensionality
A key method for privacy preserving data mining is that of randomization. Unlike k-anonymity, this technique does not include public information in the underlying assumptions. In ...
Charu C. Aggarwal
CIKM
2005
Springer
14 years 2 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
CDVE
2007
Springer
165views Visualization» more  CDVE 2007»
14 years 2 months ago
Private Data Management in Collaborative Environments
Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of informatio...
Larry Korba, Ronggong Song, George Yee, Andrew S. ...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
14 years 2 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal