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VLDB
2007
ACM
138views Database» more  VLDB 2007»
15 years 6 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
15 years 5 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
15 years 5 months 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
15 years 5 months 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»
15 years 1 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...