Institute of Information Engineering

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20072026

most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2014 · cs.ITShow all

3 papers · 2 filters

cs.IT2014

Two Boolean functions with five-valued Walsh spectra and high nonlinearity

Xiwang Cao, Lei Hu

For cryptographic systems the method of confusion and diffusion is used as a fundamental technique to achieve security. Confusion is reflected in nonlinearity of certain Boolean fu…

cs.IT2014

On the distinctness of binary sequences derived from $2$ -adic expansion of m-sequences over finite prime fields

Yupeng Jiang, DongDai Lin

Let $p$ be an odd prime with $2$ -adic expansion $\sum_{i = 0}^{k} p_{i} \cdot 2^{i}$ . For a sequence $a = (a (t))_{t \geq 0}$ over $F_{p}$ , each $a (t)$ belongs to $\{0,1,\ldot…

cs.IT2014

Distribution properties of compressing sequences derived from primitive sequences modulo odd prime powers

Yupeng Jiang, Dongdai Lin

Let $a$ and $b$ be primitive sequences over $Z / (p^{e})$ with odd prime $p$ and $e \geq 2$ . For certain compressing maps, we consider the distribution p…

Two Boolean functions with five-valued Walsh spectra and high nonlinearity

On the distinctness of binary sequences derived from 2-adic expansion of m-sequences over finite prime fields

Distribution properties of compressing sequences derived from primitive sequences modulo odd prime powers

On the distinctness of binary sequences derived from $2$ -adic expansion of m-sequences over finite prime fields