Publications in Math-Net.Ru
-
Security analysis of the draft national standard «Neural network algorithms in protected execution. Automatic training of neural network models on small samples in classification tasks»
Proceedings of ISP RAS, 35:6 (2023), 179–188
-
Polynomial approximations for several neural network activation functions
Informatics and Automation, 21:1 (2022), 161–180
-
Key distribution. Episode 1: Quantum menace
Mat. Vopr. Kriptogr., 11:2 (2020), 99–110
-
On a new Russian Encryption Standard
Mat. Vopr. Kriptogr., 6:2 (2015), 29–34
-
On the security of a neural network-based biometric authentication scheme
Mat. Vopr. Kriptogr., 5:2 (2014), 87–98
-
A lightweight-friendly modification of GOST block cipher
Mat. Vopr. Kriptogr., 5:2 (2014), 47–55
-
Reconstruction of linear recurrent sequence over prime residue ring from its image. II
Mat. Vopr. Kriptogr., 2:2 (2011), 81–93
-
Reconstruction of linear recurrent sequence over prime residue ring from its image
Mat. Vopr. Kriptogr., 1:2 (2010), 31–56
© , 2026