Maxim A. Deryabin

Ph.D. in Computer Science
Researcher, Computing Platform Lab, Samsung Advanced Institute of Technology, Samsung Electronics, Suwon, South Korea

OrcID: 0000-0002-6761-3667
Scopus ID: 56069631300
Researcher ID: G-4913-2015
Publons: Maxim Deryabin
ResearchGate: Maxim_Deryabin
Google Scholar: Maxim Deryabin

Research interests include the study of the residue number system and its applications, threshold secret sharing schemes, the use of modular arithmetic to optimize computing, communication systems and the organization of error-free information exchange, design of devices based on the residue number system, cryptography, homomorphic encryption, secret sharing schemes.



2013-2016Ph.D.Ph.D. in Computer Science, North Caucasus Federal University, Stavropol, Russia, Supervisor: N.I. Chervyakov
2011-2013M.S.Master of Science, North Caucasus Federal Ubiversity, Stavropol, Russia
2007-2011B.S.Bachelor of Science, Stavropol State University, Stavropol, Russia

Work Experience:

  • • Engineer-Programmer in the company "SOYUZ-FINANCE" from 2011 to 2012.
  • • Programmer of the Department (Laboratory) of Digital Educational Resources of NCFU, from 2012 to 2013.
  • • Junior Researcher of NCFU, from 2013 to 2017.
  • • Assistant of the Department of Applied Mathematics and Mathematical Modeling of NCFU, from 2016 to 2017.
  • • Senior Researcher, Associate Professor of the Department of Applied Mathematics and Mathematical Modelingof the North-Caucasian Federal University, from 2017 to 2020.

Projects principal investigator

  • • "Development and research of security methods in mobile ad-hoc networks based on threshold access structures", Grant of the President of the Russian Federation for state support of young Russian scientists - candidates of science № MK-6294.2018.9 2018-2019 years
  • • "Development of the hardware part of the modular cryptographic system with the public key for FPGA" Fund for Assistance to Small Innovative Enterprises (FASIE) 2014-2016 years
  • • "Secure cloud storage technology based on secret sharing" PJSC "InfoTecs" 2014-2015 years

Projects investigator

  • • "Cost-effective tools for intellectual analysis of visual information based on convolutional neural networks", supported by Russian Foundation for Basic Research (RFBR) № 19-07-00130 A, Principal Investigator: P.A. Lyakhov, 2019-2021 years
  • • "Development of New Fault-Tolerant Mobile Communication System with Low Power Consumption Based on the Integration of Parallel Mathematics and Artificial Neural Networks", supported by Russian Foundation for Basic Research (RFBR) № 18-07-00109 A, Principal Investigator: N.I. Chervyakov, 2018-2019 years
  • • "Development of mathematical models and methods for reducing power consumption in mobile communication systems based on the residue number system" The basic part of the state task NCFU № 2.6035.2017/БЧ, Principal Investigator: N.I. Chervyakov, 2017-2019 years
  • • "Problems of integration of parallel computer algebra and artificial neural networks in the field of infocommunication technologies" The basic part of the state task NCFU № 2563, Principal Investigator: N.I. Chervyakov, 2014-2016 years
  • • "Development of methods and algorithms for digital signal filters in residue number system using wavelets finite field", supported by Russian Foundation for Basic Research (RFBR) № 14-07-31004, Principal Investigator: P.A. Lyakhov, 2014-2015 year

Publications in peer-reviewed international journals:

  • • Babenko, M., Piestrak, S. J., Chervyakov, N., Deryabin, M. The Study of Monotonic Core Functions and Their Use to Build RNS Number Comparators // Electronics, V. 10, Is. 9., 2021 – pp. 1041. DOI: 10.3390/electronics10091041
  • • Babenko, M., Deryabin, M., Piestrak, S. J., Patronik, P., Chervyakov, N., Tchernykh, A., Avetisyan, A. RNS Number Comparator Based on a Modified Diagonal Function // Electronics, V. 9. Is. 11, 2020 – pp. 1784. DOI: 10.3390/electronics9111784
  • • Chervyakov, N., Lyakhov, P., Babenko, M., Lavrinenko, I., Deryabin, M., Lavrinenko, A., ..., Kaplun, D. A Division Algorithm in a Redundant Residue Number System Using Fractions // Applied Sciences, V. 10, Is. 2, 2020 – pp. 695. DOI: 10.3390/app10020695
  • • Chervyakov, N.I., Lyakhov, P.A., Deryabin, M.A., Nagornov, N.N., Valueva, M.V., Valuev, G.V. Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network // Neurocomputing, V. 407, 2020 – pp. 439-453. DOI: 10.1016/j.neucom.2020.04.018
  • • Chervyakov, N., Lyakhov, P., Babenko, M., Nazarov, A., Deryabin, M., Lavrinenko, I., Lavrinenko, A. A high-speed division algorithm for modular numbers based on the Chinese remainder theorem with fractions and its hardware implementation // Electronics, V. 8, Is. 3, 2019 - pp. 261. DOI: 10.3390/electronics8030261
  • • Chervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Lavrinenko, I.N., Lavrinenko, A.V., Deryabin, M.A., Nazarov A.S. A new model to optimize the architecture of a fault-tolerant modular neurocomputer. // Neurocomputing, V. 303, 2018 - pp. 37-46. DOI: 10.1016/j.neucom.2018.04.028.
  • • Tchernykh, A., Babenko, M., Chervyakov, N., Miranda-López, V., Kuchukov, V., Cortés-Mendoza, J. M., Deryabin, M., Kucherov, N., Radchenko, G., Avetisyan, A. AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. // International Journal of Approximate Reasoning, Special Issue on Uncertainty in Cloud Computing: Concepts, Challenges and Current Solutions. V. 102, 2018 - pp. 60-73. DOI: 10.1016/j.ijar.2018.07.010.
  • • Chervyakov, N.I., Molahosseini, A. S., Lyakhov, P. A., Babenko, M. G., Deryabin, M. A. Residue-to-binary conversion for general moduli sets based on approximate Chinese Remainder Theorem. // International Journal of Computer Mathematics, V. 94, I. 9, 2017 - pp. 1833-1849. DOI10.1080/00207160.2016.1247439.
  • • Chervyakov, N.I., Lyakhov, P.A., Babenko, M.G., Garyanina, A.I., Lavrinenko, I.N., Lavrinenko, A.V., Deryabin, M.A. An efficient method of error correction in fault-tolerant modular neurocomputers. // Neurocomputing, V. 205, 2016 - pp. 32-44. DOI10.1016/j.neucom.2016.03.041.


  • • Lee, J. W., Kang, H., Lee, Y., Choi, W., Eom, J., Deryabin, M., ... & No, J. S. Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network. 2021. arXiv preprint arXiv:2106.07229.
  • • Kim, A., Deryabin, M., Eom, J., Choi, R., Lee, Y., Ghang, W., & Yoo, D. General Bootstrapping Approach for RLWE-based Homomorphic Encryption. 2021.

Conference papers: 

  • • Kucherov N.N., Deryabin M.A., Babenko M.G. Homomorphic Encryption Methods Review // 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus), 2020: 370-373. DOI: 10.1109/EIConRus49466.2020.9039110
  • • Deryabin, M., Babenko, M., Nazarov, A., Kucherov, N., Karachevtsev, A., Glotov, A., Vashchenko, I. Protocol for Secure and Reliable Data Transmission in MANET based on Modular Arithmetic // 2019 International conference on Engineering and Telecommunication (EnT), 2019: 1-5. DOI: 10.1109/EnT47717.2019.9030580
  • • Babenko, M., Redvanov, A. S., Deryabin, M., Chervyakov, N., Nazarov, A., Al-Galda, S. C., ..., Nepretimova, E. Babenko M. et al. Efficient Implementation of Cryptography on Points of an Elliptic Curve in Residue Number System // 2019 International Conference on Engineering and Telecommunication (EnT), 2019: С. 1-5. DOI: 10.1109/EnT47717.2019.9030592
  • • Babenko, M., Deryabin, M., Tchernykh, A. The Accuracy Estimation of the Interval-Positional Characteristic in Residue Number System // 2019 International Conference on Engineering and Telecommunication (EnT), 2019: – 1-5. DOI: 10.1109/EnT47717.2019.9030549
  • • Miranda-López, V., Tchernykh, A., Babenko, M., Kuchukov, V., Deryabin, M., Golimblevskaia, E., ..., Talbi, E. G. Miranda-López V. et al. Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability // 2019 International Conference on High Performance Computing & Simulation (HPCS), 2019: 915-922. DOI: 10.1109/HPCS48598.2019.9188057
  • • Deryabin, M., Chervyakov, N., Tchernykh, A., Berezhnoy, V., Djurabaev, A., Nazarov, A., Babenko, M. Comparative performance analysis of information dispersal methods // 2019 24th Conference of Open Innovations Association (FRUCT), 2019: 67-74. DOI: 10.23919/FRUCT.2019.8711955
  • • Deryabin M., Chervyakov N., Tchernykh A., Babenko M., Kucherov N., Miranda-López V., Avetisyan A. Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. Proceedings of the 2018 IEEE International Conference on High Performance Computing & Simulation (HPCS). Conference processing. 2018: 700-706. DOI: 10.1109/HPCS.2018.00114 [url]
  • • Babenko M., Chervyakov N., Tchernykh A., Kucherov N., Deryabin M., Radchenko G., Navaux P.O.A., Svyatkin V. Security analysis of homomorphic encryption scheme for cloud computing: Known-plaintext attack. Proceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). Conference processing. 2018: 270-274. DOI: 10.1109/EIConRus.2018.8317083 [url]
  • • Tchernykh, A.N., Babenko, M.G., Chervyakov, N.I., Cortés-Mendoza, J.M., Kucherov, N.N., Miranda-López, V., Deryabin, M.A., Dvoryaninova, I.V., Radchenko, G.I. Towards mitigating uncertainty of data security breaches and collusion in cloud computing. Proceedings of the 2017 International Workshop on Database and Expert Systems Applications, DEXA. Conference processing. 2017: 137-141. DOI: 10.1109/DEXA.2017.44 [url]
  • • Chervyakov, N.I., Babenko, M.G., Kuchukov, V.A., Deryabin, M.A., Kuchukova, N.N., Tchernykh, A.N. Fast modular multiplication execution in residue number system. Proceedings of the 2016 IEEE Conference on Quality Management, Transport and Information Security, Information Technologies, IT and MQ and IS 2016. Conference processing. 2016: 30-32. DOI: 10.1109/ITMQIS.2016.7751894 [url]
  • • Chervyakov, N.I., Babenko, M.G., Deryabin, M.A., Nazarov, A.S., Shabalina, M.N. Computation of positional characteristics of numbers in RNS based on approximate method. Proceedings of the 2016 NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW). Conference processing. 2016: 177-179. DOI: 10.1109/EIConRusNW.2016.7448148 [url]
  • • Chervyakov, N. I., Babenko, M. G., Deryabin, M. A., Shabalina, M. N., Alassane, B. A. The development of secure mobile computing network based on secret sharing schemes. Proceedings of the 2016 NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW). Conference processing. 2016: 180-184. DOI: 10.1109/EIConRusNW.2016.7448149 [url]
  • • Alassane, B. A., Karim, K., Chervyakov, N. I., Deryabin, M. A., Babenko, M. G., Shabalina, M. N. Jitter calculation in Core IMS. Proceedings of the 2016 NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW). Conference processing. 2016: 112-115. DOI: 10.1109/EIConRusNW.2016.7448134 [url]
  • • Chervyakov, N. I., Babenko, M. G., Deryabin, M. A., Kucherov, N. N., Kuchukova, N. N. The EC-sequences on points of an elliptic curve realization using neural networks. Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015. Conference processing. 2016: 147-154. DOI: 10.1007/978-3-319-29504-6_15 [url]
  • • Chervyakov N.I., Babenko M.G., Deryabin M.A., Garianina A.I. The Development of Information Security's Theoretical Aspects In Cloud Technologies With The Use of Treshold Structures. International Conference "Engineering & Telecommunication En&T", November 26-28, 2014. Book of Abstracts. - Moscow - Dolgoprudny: MIPT, 2014: 149-151. DOI: 10.1109/EnT.2014.19 [url]
  • • Chervyakov N.I., Babenko M.G., Deryabin M.A., Nazarov A.S. Cryptanalysis of secret sharing schemes based on spherical spaces. 2014 IEEE 8th International Conference on Application of Information and Communication Technologies - AICT2014. Conference processing. 2014: 11-15. DOI: 10.1109/ICAICT.2014.7035900 [url]

Publications in peer-reviewed Russian journals:

  • • Червяков, Н.И., Дерябин, М.А., Назаров, А.С., Бабенко, М.Г., Кучеров, Н.Н., Гладков, А.В., Радченко, Г.И. Безопасная и надежная передача данных в MANET на основе принципов вычислительно стойкого разделения секрета // Труды Института системного программирования РАН. 2019. Т. 31. №. 2., C 153-169 [pdf]
  • • Червяков Н.И., Дерябин М.А. Новый метод порогового разделения секрета, основанный на системе остаточных классов // Информационные технологии. 2016. №3, Т. 22. С. 211-219.
  • • Червяков Н.И., Бабенко М.Г., Черных А.Н., Кучуков В.А., Дерябин М.А., Кучукова Н.Н. Разработка нового нейросетевого метода вычисления модульного умножения в системе остаточных классов // Нейрокомпьютеры: разработка, применение. 2016. №. 10. С. 41-48.
  • • Червяков Н.И., Дерябин М.А., Лавриненко И.Н. Реализация алгоритма Монтгомери в системе остаточных классов на основе эффективного алгоритма расширения системы оснований // Нейрокомпьютеры: разработка, применение. 2014. №9. С. 37-45.
  • • Червяков Н.И.,  Бабенко М.Г., Лавриненко И.Н.,  Ляхов П.А ., Дерябин М.А. Алгебраические и практические аспекты реализации нейросетевой пороговой схемы разделения секрета. // Наука. Инновации. Технологии. Ставрополь:  Издательство Северо-Кавказского федерального университета. 2014. №2, С. 14-26.
  • • Дерябин М.А., Зайцев А.А. Использование модулярной арифметики для ускорения выполнения операций с числами большой разрядности // Вестник УГАТУ. Уфа: Издательство УГАТУ, 2013. Т. 17, № 5 (58). С. 245–251. [pdf]
  • • Бондарь Т. П., Цатурян Е. О., Дерябин М. А., Зайцев А. А. Применение самообучающейся нейронной сети для прогноза развития тромбогеморрагических осложнений в акушерской и неонатальной практике // Саратовский научно-медицинский журнал. 2013. Т. 9, № 2. С. 282–286. [pdf]


  • • Deryabin M., Chervyakov N., Tchernykh A., Babenko M., Shabalina M. High Performance Parallel Computing in Residue Number System. International Journal of Combinatorial Optimization Problems and Informatics, 2018. Vol. 9. No. 1. pp. 62-67. [url]
  • • Chervyakov, N.I., Babenko M.G., Lyakhov P.A., Kiyashko Y.S., Deryabin M.A., 2014. Theoretic Development of Active Security Concept on Elliptical Curve. World Applied Sciences Journal, 30(11), 2014: 1566-1569. DOI: 10.5829/idosi.wasj.2014.30.11.14214 [pdf]