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...
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...
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...
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 ...
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...