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ICDE
2007
IEEE
115views Database» more  ICDE 2007»
15 years 11 months ago
MultiRelational k-Anonymity
k-Anonymity protects privacy by ensuring that data cannot be linked to a single individual. In a k-anonymous dataset, any identifying information occurs in at least k tuples. Much...
Mehmet Ercan Nergiz, Chris Clifton, A. Erhan Nergi...
ESORICS
2005
Springer
15 years 3 months ago
On Obligations
Access control is concerned with granting access to sensitive data based on conditions that relate to the past or present, so-called provisions. Expressing requirements from the do...
Manuel Hilty, David A. Basin, Alexander Pretschner
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
15 years 3 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
SIGIR
2002
ACM
14 years 9 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny
EDBTW
2010
Springer
15 years 5 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...