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» From Data Privacy to Location Privacy: Models and Algorithms
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FOCS
2010
IEEE
15 years 4 months ago
Boosting and Differential Privacy
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
Cynthia Dwork, Guy N. Rothblum, Salil P. Vadhan
ICC
2007
IEEE
214views Communications» more  ICC 2007»
16 years 10 days ago
Distributed ONS and its Impact on Privacy
— The EPC Network is an industry proposal to build a global information architecture for objects carrying RFID tags with Electronic Product Codes (EPC). A so-called Object Naming...
Benjamin Fabian, Oliver Günther
JTAER
2010
147views more  JTAER 2010»
15 years 4 months ago
Privacy Issues for Online Personal Photograph Collections
Technological developments now allow community groups, clubs, and even ordinary individuals to create their own, publicly accessible online digital multi-media collections. Howeve...
Sally Jo Cunningham, Masood Masoodian, Anne Adams
SIGIR
2002
ACM
15 years 5 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
PODS
2010
ACM
184views Database» more  PODS 2010»
15 years 11 months ago
Universally optimal privacy mechanisms for minimax agents
A scheme that publishes aggregate information about sensitive data must resolve the trade-off between utility to information consumers and privacy of the database participants. D...
Mangesh Gupte, Mukund Sundararajan