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Prikladnaya Diskretnaya Matematika. Supplement, 2019, Issue 12, Pages 165–169
DOI: https://doi.org/10.17223/2226308X/12/46 (Mi pdma461) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Mathematical Foundations of Computer Security

Artificial neural networks as a mechanism for obfuscation of computations

V. L. Eliseevab

a Infotecs, Moscow
b National Research University "Moscow Power Engineering Institute"
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DOI: https://doi.org/10.17223/2226308X/12/46
Abstract: The subject of the paper is the possibility of using artificial neural networks as a mechanism for strongly obfuscating computations. The problem of the obfuscation and the main ideas and methods for solving this problem are discussed. The concept of a neural network obfuscator is introduced and its properties are proved. The advantages and disadvantages of the proposed approach are discussed.
Keywords: artificial neural network, obfuscation.
Bibliographic databases:
Document Type: Article
UDC: 004.056.53, 004.032.26
Language: Russian
Citation: V. L. Eliseev, “Artificial neural networks as a mechanism for obfuscation of computations”, Prikl. Diskr. Mat. Suppl., 2019, no. 12, 165–169
Citation in format AMSBIB
\Bibitem{Eli19}
\by V.~L.~Eliseev
\paper Artificial neural networks as a mechanism for obfuscation of computations
\jour Prikl. Diskr. Mat. Suppl.
\yr 2019
\issue 12
\pages 165--169
\mathnet{http://mi.mathnet.ru/pdma461}
\crossref{https://doi.org/10.17223/2226308X/12/46}
\elib{https://elibrary.ru/item.asp?id=41153916}
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    • This publication is cited in the following 1 articles:
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