By exploiting the Fourier series expansion, we have developed a new constructive method of automatically generating a multivariable fuzzy inference system from any given sample set...
We propose SWIFFT, a collection of compression functions that are highly parallelizable and admit very efficient implementations on modern microprocessors. The main technique under...
Vadim Lyubashevsky, Daniele Micciancio, Chris Peik...
Background: Modeling of gene expression data from time course experiments often involves the use of linear models such as those obtained from principal component analysis (PCA), i...
Peter D. Wentzell, Tobias K. Karakach, Sushmita Ro...
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
We provide attacks and analysis that capture a tradeoff, in the ideal-permutation model, between the speed of a permutation-based hash function and its potential security. For coll...