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» A Condensation Approach to Privacy Preserving Data Mining
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PVLDB
2010
95views more  PVLDB 2010»
13 years 7 months ago
Small Domain Randomization: Same Privacy, More Utility
Random perturbation is a promising technique for privacy preserving data mining. It retains an original sensitive value with a certain probability and replaces it with a random va...
Rhonda Chaytor, Ke Wang
CCS
2007
ACM
14 years 3 months ago
Automaton segmentation: a new approach to preserve privacy in xml information brokering
A Distributed Information Brokering System (DIBS) is a peer-to-peer overlay network that comprises diverse data servers and brokering components helping client queries locate the ...
Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Chao-Hs...
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...
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
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
13 years 9 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung