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Publications in Math-Net.Ru
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On possibility of using convolutional neural networks for creating universal attacks on iterative block ciphers
Prikl. Diskr. Mat., 2020, no. 49, 46–56
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Construction of distinguishers for iterative block ciphers on the base of neural networks
Prikl. Diskr. Mat. Suppl., 2020, no. 13, 54–56
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Efficient steganography detection by means of compression-based integral classifier
Prikl. Diskr. Mat., 2018, no. 40, 59–71
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Enhancing steganalysis accuracy via tentative filtering of stego-containers
Prikl. Diskr. Mat., 2016, no. 2(32), 87–99
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Preliminary evaluation of a minimal number of rounds in lightweight block ciphers for providing their satisfactory statistical properties
Prikl. Diskr. Mat. Suppl., 2015, no. 8, 66–68
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Influence of difference Hamming weight on it's propagation through arithmetic operations
Prikl. Diskr. Mat. Suppl., 2014, no. 7, 49–51
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An impact of the two values difference's Hamming weight on its preserving probability after addition and subtraction
Diskretn. Anal. Issled. Oper., 20:5 (2013), 58–65
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On relations between the basic notions of differential cryptanalysis
Prikl. Diskr. Mat. Suppl., 2013, no. 6, 44–48
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On probability of one-bit difference propagation through modulo addition and subtraction
Prikl. Diskr. Mat., 2012, no. 4(18), 53–60
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Complexity estimation for a differential attack on a block cipher with given parameters
Prikl. Diskr. Mat., 2010, no. supplement № 3, 25–27
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Differential cryptanalysis of the MARS block cipher
Prikl. Diskr. Mat., 2009, no. 4(6), 56–63
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“Book Stack” as a New Statistical Test for Random Numbers
Probl. Peredachi Inf., 40:1 (2004), 73–78
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