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WEBI
2005
Springer
14 years 1 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
EDBTW
2010
Springer
14 years 2 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
ICDCS
2011
IEEE
12 years 7 months ago
Privacy-Preserving Query over Encrypted Graph-Structured Data in Cloud Computing
— In the emerging cloud computing paradigm, data owners become increasingly motivated to outsource their complex data management systems from local sites to the commercial public...
Ning Cao, Zhenyu Yang, Cong Wang, Kui Ren, Wenjing...
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 8 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
AICT
2006
IEEE
14 years 2 months ago
Privacy and data protection in technology-enhanced professional learning
Privacy provision and data protection are basic requirements for professional learning, especially when personalized systems are used that adapt to sensitive learner personal data...
Tomaz Klobucar