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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb002...
Part of book or chapter of book . 1996 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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On construction of resilient functions

Authors: Chuan-Kun Wu; Ed Dawson;

On construction of resilient functions

Abstract

An (n, m, t) resilient function is a function f: GF(2) n → GF(2) m such that every possible output m-tuple is equally likely to occur when the values of t arbitrary inputs are fixed by an opponent and the remaining n−t input bits are chosen independently at random. The existence of resilient functions has been largely studied in terms of lower and upper bounds. The construction of such functions which have strong cryptographic significance, however, needs to be studied further. This paper aims at presenting an efficient method for constructing resilient functions from odd ones based on the theory of error-correcting codes, which has further expanded the construction proposed by X.M.Zhang and Y.Zheng. Infinite classes of resilient functions having variant parameters can be constructed given an old one and a linear error-correcting code. The method applies to both linear and nonlinear resilient functions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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