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» Privacy Preserving Publication of Moving Object Data
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ICDE
2008
IEEE
219views Database» more  ICDE 2008»
14 years 6 months ago
Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases
Preserving individual privacy when publishing data is a problem that is receiving increasing attention. According to the k-anonymity principle, each release of data must be such th...
Osman Abul, Francesco Bonchi, Mirco Nanni
SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
13 years 9 months ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu
ICDE
2008
IEEE
177views Database» more  ICDE 2008»
14 years 6 months ago
On Anti-Corruption Privacy Preserving Publication
This paper deals with a new type of privacy threat, called "corruption", in anonymized data publication. Specifically, an adversary is said to have corrupted some individ...
Yufei Tao, Xiaokui Xiao, Jiexing Li, Donghui Zhang
CCS
2008
ACM
13 years 6 months ago
Controlled privacy preserving keyword search
Data sharing on public servers has become a popular service on the Internet, in which users can store and share data with other users through public servers. However, because the ...
Stephen S. Yau, Yin Yin
DMIN
2008
145views Data Mining» more  DMIN 2008»
13 years 6 months ago
Privacy-Preserving Classification of Horizontally Partitioned Data via Random Kernels
We propose a novel privacy-preserving nonlinear support vector machine (SVM) classifier for a data matrix A whose columns represent input space features and whose individual rows ...
Olvi L. Mangasarian, Edward W. Wild