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ICDM
2010
IEEE
160views Data Mining» more  ICDM 2010»
15 years 4 months ago
A Privacy Preserving Framework for Gaussian Mixture Models
Abstract--This paper presents a framework for privacypreserving Gaussian Mixture Model computations. Specifically, we consider a scenario where a central service wants to learn the...
Madhusudana Shashanka
CORR
2010
Springer
134views Education» more  CORR 2010»
15 years 6 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
AUSDM
2007
Springer
165views Data Mining» more  AUSDM 2007»
15 years 10 months ago
A New Efficient Privacy-Preserving Scalar Product Protocol
Recently, privacy issues have become important in data analysis, especially when data is horizontally partitioned over several parties. In data mining, the data is typically repre...
Artak Amirbekyan, Vladimir Estivill-Castro
EDBT
2008
ACM
129views Database» more  EDBT 2008»
16 years 6 months ago
Design of PriServ, a privacy service for DHTs
By decentralizing control, P2P systems provide efficient, scalable data sharing. However, when sharing data for different purposes (e.g., billing, purchase, shipping, etc.), data ...
Mohamed Jawad, Patricia Serrano-Alvarado, Patrick ...
CHI
2007
ACM
16 years 6 months ago
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
As sharing personal media online becomes easier and widely spread, new privacy concerns emerge ? especially when the persistent nature of the media and associated context reveals ...
Shane Ahern, Dean Eckles, Nathaniel Good, Simon Ki...