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DASFAA
2007
IEEE
163views Database» more  DASFAA 2007»
13 years 11 months ago
Protecting Individual Information Against Inference Attacks in Data Publishing
In many data-publishing applications, the data owner needs to protect sensitive information pertaining to individuals. Meanwhile, certain information is required to be published. T...
Chen Li, Houtan Shirani-Mehr, Xiaochun Yang
EDBT
2009
ACM
122views Database» more  EDBT 2009»
13 years 9 months 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
COMAD
2008
13 years 6 months ago
Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss
Publishing a database instance containing individual information poses two kinds of privacy risk: presence leakage, by which the attackers can explicitly identify individuals in (...
Hui Wang
CCS
2010
ACM
13 years 3 months ago
Protecting location privacy against inference attacks
GPS-enabled mobile devices are a quickly growing market and users are starting to share their location information with each other through services such as Google Latitude. Locati...
Kazuhiro Minami, Nikita Borisov
VLDB
2007
ACM
138views Database» more  VLDB 2007»
13 years 11 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...