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TKDE
2008
119views more  TKDE 2008»
13 years 7 months ago
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies
Abstract--Individual privacy will be at risk if a published data set is not properly deidentified. k-Anonymity is a major technique to deidentify a data set. Among a number of k-an...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
ESORICS
2005
Springer
14 years 27 days ago
Minimal Disclosure in Hierarchical Hippocratic Databases with Delegation
Abstract. Hippocratic Databases have been proposed as a mechanism to guarantee the respect of privacy principles in data management. We argue that three major principles are missin...
Fabio Massacci, John Mylopoulos, Nicola Zannone
CIDR
2007
116views Algorithms» more  CIDR 2007»
13 years 8 months ago
Life beyond Distributed Transactions: an Apostate's Opinion
Many decades of work have been invested in the area of distributed transactions including protocols such as 2PC, Paxos, and various approaches to quorum. These protocols provide t...
Pat Helland
ECCV
2010
Springer
13 years 6 months ago
Element-Wise Factorization for N-View Projective Reconstruction
Sturm-Triggs iteration is a standard method for solving the projective factorization problem. Like other iterative algorithms, this method suffers from some common drawbacks such ...
Yuchao Dai, Hongdong Li, Mingyi He
DAWAK
2006
Springer
13 years 11 months ago
Achieving k-Anonymity by Clustering in Attribute Hierarchical Structures
Abstract. Individual privacy will be at risk if a published data set is not properly de-identified. k-anonymity is a major technique to de-identify a data set. A more general view ...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...