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VLDB
2006
ACM
490views Database» more  VLDB 2006»
16 years 11 months ago
The New Casper: Query Processing for Location Services without Compromising Privacy
This paper tackles a major privacy concern in current location-based services where users have to continuously report their locations to the database server in order to obtain the ...
Mohamed F. Mokbel, Chi-Yin Chow, Walid G. Aref
ICDE
2006
IEEE
275views Database» more  ICDE 2006»
16 years 1 months ago
Privacy Preserving Query Processing Using Third Parties
Data integration from multiple autonomous data sources has emerged as an important practical problem. The key requirement for such data integration is that owners of such data nee...
Amr El Abbadi, Aziz Gulbeden, Divyakant Agrawal, F...
SIGMOD
2010
ACM
274views Database» more  SIGMOD 2010»
15 years 4 months ago
K-isomorphism: privacy preserving network publication against structural attacks
Serious concerns on privacy protection in social networks have been raised in recent years; however, research in this area is still in its infancy. The problem is challenging due ...
James Cheng, Ada Wai-Chee Fu, Jia Liu
PSD
2010
Springer
180views Database» more  PSD 2010»
14 years 10 months ago
Some Additional Insights on Applying Differential Privacy for Numeric Data
Recently Sarathy and Muralidhar (2009) provided the first attempt at illustrating the implementation of differential privacy for numerical data. In this paper, we attempt to provid...
Rathindra Sarathy, Krishnamurty Muralidhar
CRYPTO
2012
Springer
241views Cryptology» more  CRYPTO 2012»
13 years 2 months ago
Crowd-Blending Privacy
We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...