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ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 6 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
VLDB
2008
ACM
147views Database» more  VLDB 2008»
14 years 5 months ago
Providing k-anonymity in data mining
In this paper we present extended definitions of k-anonymity and use them to prove that a given data mining model does not violate the k-anonymity of the individuals represented in...
Arik Friedman, Ran Wolff, Assaf Schuster
CHI
2006
ACM
14 years 5 months ago
Putting people in their place: an anonymous and privacy-sensitive approach to collecting sensed data in location-based applicati
The emergence of location-based computing promises new and compelling applications, but raises very real privacy risks. Existing approaches to privacy generally treat people as th...
Karen P. Tang, Pedram Keyani, James Fogarty, Jason...
KDD
2006
ACM
166views Data Mining» more  KDD 2006»
14 years 5 months ago
Anonymizing sequential releases
An organization makes a new release as new information become available, releases a tailored view for each data request, releases sensitive information and identifying information...
Ke Wang, Benjamin C. M. Fung
EUC
2005
Springer
13 years 10 months ago
A Hierarchical Anonymous Communication Protocol for Sensor Networks
Ensuring anonymity in sensor networks is a major security goal. Using traffic analysis, the attacker can compromise the network functionality by correlating data flow patterns to ...
Arjan Durresi, Vamsi Paruchuri, Mimoza Durresi, Le...