Maxim Anatolievich Deryabin

According to our database, Maxim Anatolievich Deryabin authored at least 21 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

General Bootstrapping Approach for RLWE-Based Homomorphic Encryption.

Andrey Kim, Maxim Deryabin, Jieun Eom, Rakyong Choi, Yongwoo Lee, Whan Ghang, Donghoon Yoo

IEEE Trans. Computers, January, 2024

ModHE: Modular Homomorphic Encryption Using Module Lattices Potentials and Limitations.

Anisha Mukherjee, Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy

IACR Trans. Cryptogr. Hardw. Embed. Syst., 2024

Exploring the Advantages and Challenges of Fermat NTT in FHE Acceleration.

Andrey Kim, Ahmet Can Mert, Anisha Mukherjee, Aikata, Maxim Deryabin, Sunmin Kwon, HyungChul Kang, Sujoy Sinha Roy

IACR Cryptol. ePrint Arch., 2024

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, April, 2023

LFHE: Fully Homomorphic Encryption with Bootstrapping Key Size Less than a Megabyte.

Andrey Kim, Yongwoo Lee, Maxim Deryabin, Jieun Eom, Rakyong Choi

IACR Cryptol. ePrint Arch., 2023

REED: Chiplet-Based Scalable Hardware Accelerator for Fully Homomorphic Encryption.

Aikata, Ahmet Can Mert, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy

IACR Cryptol. ePrint Arch., 2023

2022

Efficient FHEW Bootstrapping with Small Evaluation Keys, and Applications to Threshold Homomorphic Encryption.

Yongwoo Lee, Daniele Micciancio, Andrey Kim, Rakyong Choi, Maxim Deryabin, Jieun Eom, Donghoon Yoo

IACR Cryptol. ePrint Arch., 2022

Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network.

Joon-Woo Lee, HyungChul Kang, Yongwoo Lee, Woosuk Choi, Jieun Eom, Maxim Deryabin, Eunsang Lee, Junghyun Lee, Donghoon Yoo, Young-Sik Kim, Jong-Seon No

IEEE Access, 2022

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

Proceedings of the Smart Cities - 5th Ibero-American Congress, 2022

2020

Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network.

Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev

Neurocomputing, 2020

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

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Mathematical Description of the Correctness of Transmission Numerical Codes for Gaussian Channels in the Rough Segregation of Energy.

Oleg Malofey, Alexander Malofey, Anastasia Shangina, Maxim Deryabin, Sergey Rassomahin

Proceedings of the 24th Conference of Open Innovations Association, 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

Proceedings of the 24th Conference of Open Innovations Association, 2019

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

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

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

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

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

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

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

Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017

2016

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

2015

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

Proceedings of the Second International Afro-European Conference for Industrial Advancement, 2015