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102
Voted
CIKM
2010
Springer
15 years 1 months ago
Anonymizing data with quasi-sensitive attribute values
We study the problem of anonymizing data with quasi-sensitive attributes. Quasi-sensitive attributes are not sensitive by themselves, but certain values or their combinations may ...
Pu Shi, Li Xiong, Benjamin C. M. Fung
154
Voted
GLOBECOM
2009
IEEE
15 years 10 months ago
Reusable Set Constructions Using Randomized Dissolvent Templates for Biometric Security
—The emerging biometric cryptography has gained significant interests for key management and privacy protection, but the previously proposed schemes using set metrics for finge...
Jinyang Shi, Kwok-Yan Lam, Ming Gu, Husheng Li
144
Voted
EUROSYS
2011
ACM
14 years 7 months ago
DepSky: dependable and secure storage in a cloud-of-clouds
The increasing popularity of cloud storage services has lead companies that handle critical data to think about using these services for their storage needs. Medical record databa...
Alysson Neves Bessani, Miguel P. Correia, Bruno Qu...
174
Voted
ACSW
2003
15 years 4 months ago
Location Management in Pervasive Systems
Pervasive systems require context awareness in order to be able to provide “anywhere, anytime” computing to mobile users. One type of context information is location informati...
Jadwiga Indulska, Peter Sutton
129
Voted
KDD
2006
ACM
166views Data Mining» more  KDD 2006»
16 years 3 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