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» Privacy Problems with Anonymized Transaction Databases
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VLDB
2007
ACM
138views Database» more  VLDB 2007»
14 years 1 months ago
Minimality Attack in Privacy Preserving Data Publishing
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...
ICDE
2010
IEEE
184views Database» more  ICDE 2010»
13 years 11 months ago
On optimal anonymization for l+-diversity
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...
Junqiang Liu, Ke Wang
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 7 months ago
Preservation of proximity privacy in publishing numerical sensitive data
We identify proximity breach as a privacy threat specific to numerical sensitive attributes in anonymized data publication. Such breach occurs when an adversary concludes with hig...
Jiexing Li, Yufei Tao, Xiaokui Xiao
EDBT
2009
ACM
122views Database» more  EDBT 2009»
14 years 2 days ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
ICDE
2009
IEEE
141views Database» more  ICDE 2009»
14 years 9 months ago
Privacy Preserving Publishing on Multiple Quasi-identifiers
In some applications of privacy preserving data publishing, a practical demand is to publish a data set on multiple quasi-identifiers for multiple users simultaneously, which poses...
Jian Pei, Yufei Tao, Jiexing Li, Xiaokui Xiao