In tandem with recent progress on computing on encrypted data via fully homomorphic encryption, we present a framework for computing on authenticated data via the notion of slight...
Jae Hyun Ahn, Dan Boneh, Jan Camenisch, Susan Hohe...
A report is provided for the ACM SIGKDD community about the 2010 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2010), its origin in MMDS 2006 and MMDS 2008, and future...
We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
Off-chip memory accesses are a major source of power consumption in embedded processors. In order to reduce the amount of traffic between the processor and the off-chip memory as ...
Background: Understanding how proteins fold is essential to our quest in discovering how life works at the molecular level. Current computation power enables researchers to produc...
Hong Sun, Hakan Ferhatosmanoglu, Motonori Ota, Yus...