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» Extracting All the Randomness from a Weakly Random Source
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SP
2006
IEEE
193views Security Privacy» more  SP 2006»
14 years 1 months ago
Analysis of the Linux Random Number Generator
Linux is the most popular open source project. The Linux random number generator is part of the kernel of all Linux distributions and is based on generating randomness from entrop...
Zvi Gutterman, Benny Pinkas, Tzachy Reinman
IDA
2009
Springer
13 years 5 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
RECOMB
2001
Springer
14 years 7 months ago
Finding motifs using random projections
motif discovery problem abstracts the task of discovering short, conserved sites in genomic DNA. Pevzner and Sze recently described a precise combinatorial formulation of motif di...
Jeremy Buhler, Martin Tompa
CHES
2011
Springer
254views Cryptology» more  CHES 2011»
12 years 7 months ago
Extractors against Side-Channel Attacks: Weak or Strong?
Randomness extractors are important tools in cryptography. Their goal is to compress a high-entropy source into a more uniform output. Beyond their theoretical interest, they have ...
Marcel Medwed, François-Xavier Standaert
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 1 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo