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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...
NDSS
2005
IEEE
14 years 1 months ago
Privacy-Preserving Friends Troubleshooting Network
— Content sharing is a popular use of peer-to-peer systems because of their inherent scalability and low cost of maintenance. In this paper, we leverage this nature of peer-topee...
Qiang Huang, Helen J. Wang, Nikita Borisov
WEBI
2005
Springer
14 years 28 days ago
Privacy-Preserving Top-N Recommendation on Horizontally Partitioned Data
Collaborative filtering techniques are widely used by many E-commerce sites for recommendation purposes. Such techniques help customers by suggesting products to purchase using o...
Huseyin Polat, Wenliang Du
SDMW
2004
Springer
14 years 24 days ago
Experimental Analysis of Privacy-Preserving Statistics Computation
The recent investigation of privacy-preserving data mining and other kinds of privacy-preserving distributed computation has been motivated by the growing concern about the privacy...
Hiranmayee Subramaniam, Rebecca N. Wright, Zhiqian...
SDM
2007
SIAM
204views Data Mining» more  SDM 2007»
13 years 9 months ago
Flexible Anonymization For Privacy Preserving Data Publishing: A Systematic Search Based Approach
k-anonymity is a popular measure of privacy for data publishing: It measures the risk of identity-disclosure of individuals whose personal information are released in the form of ...
Bijit Hore, Ravi Chandra Jammalamadaka, Sharad Meh...