In the first part of this paper the decorrelation theory of Vaudenay is analysed. It is shown that the theory behind the proposed constructions does not guarantee security against state-of-the-art differential attacks. In the second part of this paper the proposed Decorrelated Fast Cipher (DFC), a candidate for the Advanced Encryption Standard, is analysed. It is argued that the cipher does not...

Although deep learning has proven to be tremendously successful, the main issue is dependency of its performance on quality and quantity training datasets. Since data can affected by biases, a novel method based decorrelation presented in this study. The specifically learns bias invariant features reducing non-linear statistical between itself. This makes models less prone biased decisions addr...

| We have shown previously that non-stationary signals recorded in a static multi-path environment can often be recovered by simultaneously decorrelating varying second order statistics. As typical sources are often moving, however, the multi-path channel is not static. We present here an on-line gradient algorithm with adaptive step size in the frequency domain based on second derivatives, whi...

Vaudenay[1] proposed a new way of protecting block ciphers against classes of attacks, which was based on the notion of decorrelation. He also suggested two block cipher families COCONUT and PEANUT. Wagner[2] suggested a new differential-style attack called boomerang attack and cryptanalyzed COCONUT'98. Cheon[3] suggested a new block cipher DONUT which was made by two pairwise perfect decorrela...

In this contribution we consider the popular widelaning technique from the viewpoint of ambiguity decorrelation. It enables us to cast the technique into the framework of the least-squares ambiguity decorrelation adjustment (LAMBDA) and to analyse its relative merits. In doing so, we will provide answers to the following three questions. Does the widelane decorrelate? Does it explicitly appear ...

Haak KV, Fast E, Baek Y, Mesik J. Equalization and decorrelation in primary visual cortex. J Neurophysiol 112: 501–503, 2014. First published February 26, 2014; doi:10.1152/jn.00521.2013.— There are many theories on the purpose of neural adaptation, but evidence remains elusive. Here, we discuss the recent work by Benucci et al. (Nat Neurosci 16: 724–729, 2013), who measured for the first time ...

Interferometric SAR data should be filtered in order to remove the geometrical decorrelation caused by the presence in the signal pair of “incoherent” components not illuminated in both the passes. This operation is generally carried out, via common band filters, by assuming a planar topography whereas in the real, non-planar topography case, the problem becomes space variant. We discuss the ap...

We introduce decorrelation control as a candidate algorithm for the cerebellar microcircuit and demonstrate its utility for oculomotor plant compensation in a linear model of the vestibulo-ocular reflex (VOR). Using an adaptive-filter representation of cerebellar cortex and an anti-Hebbian learning rule, the algorithm learnt to compensate for the oculomotor plant by minimizing correlations betw...