Geodesic
Artificial neural networks as a mechanism for obfuscation of computations
Prikladnaya Diskretnaya Matematika. Supplement, no. 12 (2019), pp. 165-169

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{PDMA_2019_12_a45,
     author = {V. L. Eliseev},
     title = {Artificial neural networks as a mechanism for obfuscation of computations},
     journal = {Prikladnaya Diskretnaya Matematika. Supplement},
     pages = {165--169},
     publisher = {mathdoc},
     number = {12},
     year = {2019},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/PDMA_2019_12_a45/}
}
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V. L. Eliseev. Artificial neural networks as a mechanism for obfuscation of computations. Prikladnaya Diskretnaya Matematika. Supplement, no. 12 (2019), pp. 165-169. http://geodesic.mathdoc.fr/item/PDMA_2019_12_a45/