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Blind Source Separation from Single Measurements using Singular Spectrum Analysis
side-channel analysis signal processing filtering
2016/3/23
Singular Spectrum Analysis (SSA) is a powerful data decomposition/recomposition technique that can be used to reduce the noise in time series. Compared to existing solutions aiming at similar purposes...
Collision Spectrum, Entropy Loss, T-Sponges, and Cryptanalysis of GLUON-64
random function Collision Probability Spectrum collision tree
2016/1/23
In this paper, we investigate the properties of iterative non-injective functions and the security of primitives where they are used. First, we introduce the Collision Probability Spectrum (CPS) param...
Constructing hyper-bent functions from Boolean functions with the Walsh spectrum taking the same value twice
Bent function hyper-bent function Dillon exponents
2016/1/8
Hyper-bent functions as a subclass of bent functions attract much
interest and it is elusive to completely characterize hyper-bent functions. Most
of known hyper-bent functions are Boolean functions...
Affine-malleable Extractors, Spectrum Doubling, and Application to Privacy Amplification
Affine-malleable Extractors Spectrum Doubling
2015/12/21
The study of seeded randomness extractors is a major line of research in theoretical computer
science. The goal is to construct deterministic algorithms which can take a “weak” random
source X with ...