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ASIACRYPT
2011
Springer
12 years 4 months ago
Functional Encryption for Inner Product Predicates from Learning with Errors
We propose a lattice-based functional encryption scheme for inner product predicates whose security follows from the difficulty of the learning with errors (LWE) problem. This co...
Shweta Agrawal, David Mandell Freeman, Vinod Vaiku...
EUROCRYPT
2010
Springer
13 years 9 months ago
Fully Secure Functional Encryption: Attribute-Based Encryption and (Hierarchical) Inner Product Encryption
In this paper, we present two fully secure functional encryption schemes. Our first result is a fully secure attribute-based encryption (ABE) scheme. Previous constructions of AB...
Allison B. Lewko, Tatsuaki Okamoto, Amit Sahai, Ka...
ICASSP
2011
IEEE
12 years 8 months ago
Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
Hanchao Qi, Shannon Hughes
IJCNN
2007
IEEE
13 years 10 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot