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» On Unifying Privacy and Uncertain Data Models
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ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 7 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino
CIKM
2001
Springer
13 years 9 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
POPL
2005
ACM
14 years 5 months ago
Enterprise privacy promises and enforcement
Several formal languages have been proposed to encode privacy policies, ranging from the Platform for Privacy Preferences (P3P), intended for communicating privacy policies to con...
Adam Barth, John C. Mitchell
CVPR
2008
IEEE
14 years 7 months ago
Semi-supervised learning of multi-factor models for face de-identification
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. Recently...
Ralph Gross, Latanya Sweeney, Fernando De la Torre...
ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 2 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...