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VLDB
2007
ACM
96views Database» more  VLDB 2007»
14 years 1 months ago
Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge
Privacy is an important issue in data publishing. Many organizations distribute non-aggregate personal data for research, and they must take steps to ensure that an adversary cann...
Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevr...
CIKM
2008
Springer
13 years 9 months ago
Privacy-preserving data publishing for horizontally partitioned databases
There is an increasing need for sharing data repositories containing personal information across multiple distributed, possibly untrusted, and private databases. Such data sharing...
Pawel Jurczyk, Li Xiong
ETRICS
2006
13 years 11 months ago
Privacy-Preserving Decision Tree Mining Based on Random Substitutions
Privacy-preserving decision tree mining is an important problem that has yet to be thoroughly understood. In fact, the privacypreserving decision tree mining method explored in the...
Jim Dowd, Shouhuai Xu, Weining Zhang
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...
SIGMOD
2006
ACM
125views Database» more  SIGMOD 2006»
14 years 7 months ago
Personalized privacy preservation
We study generalization for preserving privacy in publication of sensitive data. The existing methods focus on a universal approach that exerts the same amount of preservation for...
Xiaokui Xiao, Yufei Tao