Digital filtering of images in a residue number system using finite-field wavelets. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko (Autom. Control. Comput. Sci., 2014)

The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Nataliya Nikolaevna Kuchukova (AECIA, 2015)

Researches of Algorithm of PRNG on the Basis of Bilinear Pairing on Points of an Elliptic Curve with Use of a Neural Network. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Nikolay Nikolaevich Kucherov; Viktor Andreevich Kuchukov; Maria Nikolaevna Shabalina (AECIA, 2015)

The Effective Neural Network Implementation of the Secret Sharing Scheme with the Use of Matrix Projections on FPGA. - Nikolay Ivanovich Chervyakov; Mikhail Grigorevich Babenko; Nikolay Nikolaevich Kucherov; Anastasiia Igorevna Garianina (ICSI (3), 2015)

Comparison of modular numbers based on the chinese remainder theorem with fractional values. - Nikolay I. Chervyakov; Amir Sabbagh Molahosseini; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko (Autom. Control. Comput. Sci., 2015)

An efficient method of error correction in fault-tolerant modular neurocomputers. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; A. I. Garyanina; Irina N. Lavrinenko; Anton V. Lavrinenko; Maxim Anatolievich Deryabin (Neurocomputing, 2016)

Experimental Analysis of Secret Sharing Schemes for Cloud Storage Based on RNS. - Vanessa Miranda-López; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Sergio Nesmachnow; Zhihui Du (CARLA, 2017)

Unfairness Correction in P2P Grids Based on Residue Number System of a Special Form. - Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Maria Nikolaevna Shabalina; Irina Vashchenko; Gleb I. Radchenko; Daniil Murga (DEXA Workshops, 2017)

Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. - Andrei Tchernykh; Mikhail Grigorevich Babenko; Nikolay Ivanovich Chervyakov; Jorge M. Cortés-Mendoza; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Maxim Anatolievich Deryabin; Inna Dvoryaninova; Gleb I. Radchenko (DEXA Workshops, 2017)

Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. - Nikolay I. Chervyakov; Amir Sabbagh Molahosseini; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Maxim Anatolievich Deryabin (Int. J. Comput. Math., 2017)

Bi-objective Analysis of an Adaptive Secure Data Storage in a Multi-cloud. - Esteban C. Lopez-Falcon; Vanessa Miranda-López; Andrei Tchernykh; Mikhail G. Babenko; Arutyun Avetisyan (CARLA, 2018)

Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Arutyun Avetisyan (HPCS, 2018)

WA-RRNS: Reliable Data Storage System Based on Multi-cloud. - Andrei Tchernykh; Mikhail G. Babenko; Vanessa Miranda-López; Alexander Yu. Drozdov; Arutyun Avetisyan (IPDPS Workshops, 2018)

AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Viktor Andreevich Kuchukov; Jorge M. Cortés-Mendoza; Maxim Anatolievich Deryabin; Nikolay Nikolaevich Kucherov; Gleb I. Radchenko; Arutyun Avetisyan (Int. J. Approx. Reason., 2018)

High Performance Parallel Computing in Residue Number System. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko; Maria Nikolaevna Shabalina (Int. J. Comb. Optim. Probl. Informatics, 2018)

Reliability Improvement of Information Systems by Residue Number System Code. - Anton S. Nazarov; Nikolay I. Chervyakov; Andrei Tchernykh; Mikhail G. Babenko (Int. J. Comb. Optim. Probl. Informatics, 2018)

A new model to optimize the architecture of a fault-tolerant modular neurocomputer. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko; Maxim Anatolievich Deryabin; Anton S. Nazarov (Neurocomputing, 2018)

The architecture of a fault-tolerant modular neurocomputer based on modular number projections. - Nikolay I. Chervyakov; Pavel Alekseevich Lyakhov; Mikhail G. Babenko; Irina N. Lavrinenko; Anton V. Lavrinenko; Anton S. Nazarov (Neurocomputing, 2018)

Multi-objective Configuration of a Secured Distributed Cloud Data Storage. - Luis Enrique García-Hernández; Andrei Tchernykh; Vanessa Miranda-López; Mikhail G. Babenko; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko; Carlos Jaime Barrios Hernández; Harold Castro; Alexander Yu. Drozdov (CARLA, 2019)

Comparative Performance Analysis of Information Dispersal Methods. - Maxim Anatolievich Deryabin; Nikolay I. Chervyakov; Andrei Tchernykh; Viktor Berezhnoy; Anvar Djurabaev; Anton S. Nazarov; Mikhail G. Babenko (FRUCT, 2019)

Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. - Vanessa Miranda-López; Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Maxim Anatolievich Deryabin; Elena Golimblevskaia; Egor M. Shiryaev; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko; El-Ghazali Talbi (HPCS, 2019)

Data Reliability and Redundancy Optimization of a Secure Multi-cloud Storage Under Uncertainty of Errors and Falsifications. - Andrei Tchernykh; Mikhail G. Babenko; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Arutyun Avetisyan; Raúl Rivera-Rodríguez; Gleb I. Radchenko (IPDPS Workshops, 2019)

Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage. - Andrei Tchernykh; Vanessa Miranda-López; Mikhail G. Babenko; Fermin-Alberto Armenta-Cano; Gleb I. Radchenko; Alexander Yu. Drozdov; Arutyun Avetisyan (Clust. Comput., 2019)

AR-RRNS: Configurable reliable distributed data storage systems for Internet of Things to ensure security. - Nikolay I. Chervyakov; Mikhail G. Babenko; Andrei Tchernykh; Nikolay Nikolaevich Kucherov; Vanessa Miranda-López; Jorge M. Cortés-Mendoza (Future Gener. Comput. Syst., 2019)

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability. - Andrei Tchernykh; Uwe Schwiegelshohn; El-Ghazali Talbi; Mikhail G. Babenko (J. Comput. Sci., 2019)

Positional Characteristics for Efficient Number Comparison over the Homomorphic Encryption. - Mikhail G. Babenko; Andrei Tchernykh; Nikolay I. Chervyakov; Viktor Andreevich Kuchukov; Vanessa Miranda-López; Raúl Rivera-Rodríguez; Zhihui Du; El-Ghazali Talbi (Program. Comput. Softw., 2019)

A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko (CARLA, 2020)

Neural network method for base extension in residue number system. - Mikhail G. Babenko; Egor M. Shiriaev; Andrei Tchernykh; Elena Golimblevskaia (ICCS-DE, 2020)

Computationally secure threshold secret sharing scheme with minimal redundancy. - Mikhail G. Babenko; Andrei Tchernykh; Elena Golimblevskaia; Nguyen Viet Hung; Vijay Chaurasiya (ICCS-DE, 2020)

Increasing reliability and fault tolerance of a secure distributed cloud storage. - Nikolay Nikolaevich Kucherov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov; Irina Vashchenko (ICCS-DE, 2020)

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. - Jorge M. Cortés-Mendoza; Andrei Tchernykh; Mikhail G. Babenko; Luis Bernardo Pulido-Gaytan; Gleb I. Radchenko; Franck Leprévost; Xinheng Wang 001; Arutyun Avetisyan (RuSCDays, 2020)

2Lbp-RRNS: Two-Levels RRNS With Backpropagation for Increased Reliability and Privacy-Preserving of Secure Multi-Clouds Data Storage. - Vanessa Miranda-López; Andrei Tchernykh; Mikhail G. Babenko; Arutyun Avetisyan; Victor V. Toporkov; Alexander Yu. Drozdov (IEEE Access, 2020)

Scalable Data Storage Design for Nonstationary IoT Environment With Adaptive Security and Reliability. - Andrei Tchernykh; Mikhail G. Babenko; Nikolay I. Chervyakov; Vanessa Miranda-López; Arutyun Avetisyan; Alexander Yu. Drozdov; Raúl Rivera-Rodríguez; Gleb I. Radchenko; Zhihui Du (IEEE Internet Things J., 2020)

LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. - Jorge M. Cortés-Mendoza; Gleb I. Radchenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Mikhail G. Babenko; Arutyun Avetisyan; Pascal Bouvry; Albert Y. Zomaya (CCGRID, 2021)

Determining the rank of a number in the residue number system. - Mikhail G. Babenko; Nikolay Nikolaevich Kucherov; Andrei Tchernykh; Viktor Andreevich Kuchukov; Elena Golimblevskaia; Ekaterina Kuchukova; Irina Vashchenko (ICCS-DE, 2021)

Comparative analysis of the scalar point multiplication algorithms in the NIST FIPS 186 elliptic curve cryptography. - Mikhail G. Babenko; Andrei Tchernykh; Aziz Redvanov; Anvar Djurabaev (ICCS-DE, 2021)

RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. - Mikhail G. Babenko; Andrei Tchernykh; Luis Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Egor M. Shiryaev; Elena Golimblevskaia; Arutyun Avetisyan; Sergio Nesmachnow (IPDPS Workshops, 2021)

Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. - Andrei Tchernykh; Mikhail G. Babenko; Bernardo Pulido-Gaytan; Egor M. Shiryaev; Elena Golimblevskaia; Arutyun Avetisyan; Nguyen Viet Hung; Jorge M. Cortés-Mendoza (OLA, 2021)

Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. - Mikhail G. Babenko; Anton S. Nazarov; Andrei Tchernykh; Luis Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Irina Vashchenko (Program. Comput. Softw., 2021)

Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. - Nikolay A. Vershkov; Mikhail G. Babenko; Andrei Tchernykh; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Viktor Andreevich Kuchukov; Nataliya Nikolaevna Kuchukova (Program. Comput. Softw., 2021)

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. - Luis Bernardo Pulido-Gaytan; Andrei Tchernykh; Jorge M. Cortés-Mendoza; Mikhail G. Babenko; Gleb I. Radchenko; Arutyun Avetisyan; Alexander Yu. Drozdov (Peer-to-Peer Netw. Appl., 2021)

SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems. - Andrei Gladkov; Egor M. Shiriaev; Andrei Tchernykh; Maxim Deryabin; Ekaterina Bezuglova; Georgii V. Valuev; Mikhail G. Babenko (ICSC-Cities, 2022)

Improved Modular Division Implementation with the Akushsky Core Function. - Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov (Comput., 2022)

An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. - Andrei Tchernykh; Mikhail G. Babenko; Egor M. Shiriaev; Bernardo Pulido-Gaytan; Jorge M. Cortés-Mendoza; Arutyun Avetisyan; Alexander Yu. Drozdov; Viktor Andreevich Kuchukov (Comput., 2022)

Modified Error Detection and Localization in the Residue Number System. - Andrei Gladkov; Viktor Andreevich Kuchukov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Berezhnoy; Alexander Yu. Drozdov (Program. Comput. Softw., 2022)

Method for Convolutional Neural Network Hardware Implementation Based on a Residue Number System. - Maria V. Valueva; Georgii V. Valuev; Mikhail G. Babenko; Andrei Tchernykh; Jorge M. Cortés-Mendoza (Program. Comput. Softw., 2022)

Optimization of Artificial Neural Networks using Wavelet Transforms. - Nikolay A. Vershkov; Mikhail G. Babenko; Andrei Tchernykh; Viktor Andreevich Kuchukov; Nikolay Nikolaevich Kucherov; Nataliya Nikolaevna Kuchukova; Alexander Yu. Drozdov (Program. Comput. Softw., 2022)

Digital Filter Architecture Based on Modified Winograd Method F(2× 2, 5× 5) and Residue Number System. - Georgii V. Valuev; Maria V. Valueva; Mikhail G. Babenko; Andrei Tchernykh (IEEE Access, 2023)

A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. - Mikhail G. Babenko; Elena Golimblevskaia; Andrei Tchernykh; Egor M. Shiriaev; Tatiana Ermakova; Luis Bernardo Pulido-Gaytan; Georgii V. Valuev; Arutyun Avetisyan; Lana A. Gagloeva (Big Data Cogn. Comput., 2023)

DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. - Andrei Gladkov; Egor M. Shiriaev; Andrei Tchernykh; Maxim Deryabin; Mikhail G. Babenko; Sergio Nesmachnow (Sensors, 2023)

Fast Operation of Determining the Sign of a Number in RNS Using the Akushsky Core Function. - Egor M. Shiriaev; Nikolay Nikolaevich Kucherov; Mikhail G. Babenko; Anton S. Nazarov (Comput., 2023)

Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions. - Bernardo Pulido-Gaytan; Andrei Tchernykh; Mikhail G. Babenko; Jorge M. Cortés-Mendoza; Horacio González-Vélez; Arutyun Avetisyan (CCGridW, 2024)

Identification of Exploited Unreliable Account Passwords in the Information Infrastructure Using Machine Learning Methods. - Mikhail Rusanov; Mikhail G. Babenko; Maria Lapina; Mohammad Sajid (Big Data Cogn. Comput., 2024)

Reliablity and Security for Fog Computing Systems. - Egor M. Shiriaev; Tatiana Ermakova; Ekaterina Bezuglova; Maria A. Lapina; Mikhail G. Babenko (Inf., 2024)

Analytical Review of Confidential Artificial Intelligence: Methods and Algorithms for Deployment in Cloud Computing. - Egor M. Shiriaev; Anton S. Nazarov; Nikolay Nikolaevich Kucherov; Mikhail G. Babenko (Program. Comput. Softw., 2024)

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks. - Maria A. Lapina; Egor M. Shiriaev; Mikhail G. Babenko; Ismoilzoda Istamov (Program. Comput. Softw., 2024)

Efficient Privacy-Preserving Convolutional Neural Networks with CKKS-RNS for Encrypted Image Classification. - Andrei Tchernykh; Marianne Salgado-Ramos; Bernardo Pulido-Gaytan; Horacio González-Vélez; Esteban Mosckos; Mikhail G. Babenko (IPDPS (Workshops), 2025)