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ORCIDMaxim Anatolievich Deryabin
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2020 – today
- 2024
[j10]Andrey Kim
, Maxim Deryabin, Jieun Eom, Rakyong Choi, Yongwoo Lee, Whan Ghang, Donghoon Yoo:
General Bootstrapping Approach for RLWE-Based Homomorphic Encryption. IEEE Trans. Computers 73(1): 86-96 (2024)- [j9]Anisha Mukherjee, Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy:
ModHE: Modular Homomorphic Encryption Using Module Lattices Potentials and Limitations. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(1): 527-562 (2024) - [c9]Andrey Kim, Ahmet Can Mert, Anisha Mukherjee, Aikata, Maxim Deryabin, Sunmin Kwon, HyungChul Kang, Sujoy Sinha Roy:
Exploring the Advantages and Challenges of Fermat NTT in FHE Acceleration. CRYPTO (3) 2024: 76-106 - [i9]Andrey Kim, Ahmet Can Mert, Anisha Mukherjee, Aikata, Maxim Deryabin, Sunmin Kwon, HyungChul Kang, Sujoy Sinha Roy:
Exploring the Advantages and Challenges of Fermat NTT in FHE Acceleration. IACR Cryptol. ePrint Arch. 2024: 314 (2024) - 2023
- [j8]Andrei Gladkov, Egor M. Shiriaev, Andrei Tchernykh, Maxim Deryabin, Mikhail G. Babenko, Sergio Nesmachnow:
DT-RRNS: Routing Protocol Design for Secure and Reliable Distributed Smart Sensors Communication Systems. Sensors 23(7): 3738 (2023) - [c8]Yongwoo Lee, Daniele Micciancio, Andrey Kim, Rakyong Choi, Maxim Deryabin, Jieun Eom, Donghoon Yoo:
Efficient FHEW Bootstrapping with Small Evaluation Keys, and Applications to Threshold Homomorphic Encryption. EUROCRYPT (3) 2023: 227-256 - [i8]Aikata, Ahmet Can Mert, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy:
REED: Chiplet-Based Scalable Hardware Accelerator for Fully Homomorphic Encryption. CoRR abs/2308.02885 (2023) - [i7]Andrey Kim, Yongwoo Lee, Maxim Deryabin, Jieun Eom, Rakyong Choi:
LFHE: Fully Homomorphic Encryption with Bootstrapping Key Size Less than a Megabyte. IACR Cryptol. ePrint Arch. 2023: 767 (2023) - [i6]Anisha Mukherjee, Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy:
ModHE: Modular Homomorphic Encryption Using Module Lattices: Potentials and Limitations. IACR Cryptol. ePrint Arch. 2023: 895 (2023) - [i5]Aikata, Ahmet Can Mert, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy:
REED: Chiplet-Based Scalable Hardware Accelerator for Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2023: 1190 (2023) - 2022
- [j7]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:
Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network. IEEE Access 10: 30039-30054 (2022) - [c7]Andrei Gladkov, Egor M. Shiriaev, Andrei Tchernykh, Maxim Deryabin, Ekaterina Bezuglova, Georgii V. Valuev, Mikhail G. Babenko:
SNS-Based Secret Sharing Scheme for Security of Smart City Communication Systems. ICSC-Cities 2022: 248-263 - [i4]Yongwoo Lee, Daniele Micciancio, Andrey Kim, Rakyong Choi, Maxim Deryabin, Jieun Eom, Donghoon Yoo:
Efficient FHEW Bootstrapping with Small Evaluation Keys, and Applications to Threshold Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2022: 198 (2022) - 2021
- [i3]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:
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network. CoRR abs/2106.07229 (2021) - [i2]Andrey Kim, Maxim Deryabin, Jieun Eom, Rakyong Choi, Yongwoo Lee, Whan Ghang, Donghoon Yoo:
General Bootstrapping Approach for RLWE-based Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2021: 691 (2021) - [i1]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:
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network. IACR Cryptol. ePrint Arch. 2021: 783 (2021) - 2020
- [j6]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Maxim Anatolievich Deryabin, N. N. Nagornov, Maria V. Valueva, Georgii V. Valuev:
Residue Number System-Based Solution for Reducing the Hardware Cost of a Convolutional Neural Network. Neurocomputing 407: 439-453 (2020)
2010 – 2019
- 2019
- [c6]Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Viktor Berezhnoy, Anvar Djurabaev, Anton S. Nazarov, Mikhail G. Babenko:
Comparative Performance Analysis of Information Dispersal Methods. FRUCT 2019: 67-74 - [c5]Oleg Malofey, Alexander Malofey, Anastasia Shangina, Maxim Deryabin, Sergey Rassomahin:
Mathematical Description of the Correctness of Transmission Numerical Codes for Gaussian Channels in the Rough Segregation of Energy. FRUCT 2019: 243-248 - [c4]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:
Weighted Two-Levels Secret Sharing Scheme for Multi-Clouds Data Storage with Increased Reliability. HPCS 2019: 915-922 - 2018
- [j5]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:
AC-RRNS: Anti-collusion secured data sharing scheme for cloud storage. Int. J. Approx. Reason. 102: 60-73 (2018) - [j4]Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Maria Nikolaevna Shabalina:
High Performance Parallel Computing in Residue Number System. Int. J. Comb. Optim. Probl. Informatics 9(1): 62-67 (2018) - [j3]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin, Anton S. Nazarov:
A new model to optimize the architecture of a fault-tolerant modular neurocomputer. Neurocomputing 303: 37-46 (2018) - [c3]Maxim Anatolievich Deryabin, Nikolay I. Chervyakov, Andrei Tchernykh, Mikhail G. Babenko, Nikolay Nikolaevich Kucherov, Vanessa Miranda-López, Arutyun Avetisyan:
Secure Verifiable Secret Short Sharing Scheme for Multi-Cloud Storage. HPCS 2018: 700-706 - 2017
- [j2]Nikolay I. Chervyakov, Amir Sabbagh Molahosseini, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, Maxim Anatolievich Deryabin:
Residue-to-binary conversion for general moduli sets based on approximate Chinese remainder theorem. Int. J. Comput. Math. 94(9): 1833-1849 (2017) - [c2]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:
Towards Mitigating Uncertainty of Data Security Breaches and Collusion in Cloud Computing. DEXA Workshops 2017: 137-141 - 2016
- [j1]Nikolay I. Chervyakov, Pavel Alekseevich Lyakhov, Mikhail G. Babenko, A. I. Garyanina, Irina N. Lavrinenko, Anton V. Lavrinenko, Maxim Anatolievich Deryabin:
An efficient method of error correction in fault-tolerant modular neurocomputers. Neurocomputing 205: 32-44 (2016) - 2015
- [c1]Nikolay Ivanovich Chervyakov, Mikhail Grigorevich Babenko, Maxim Anatolievich Deryabin, Nikolay Nikolaevich Kucherov, Nataliya Nikolaevna Kuchukova:
The EC Sequences on Points of an Elliptic Curve Realization Using Neural Networks. AECIA 2015: 147-154
Coauthor Index
aka: Mikhail Grigorevich Babenko
aka: Nikolay Ivanovich Chervyakov
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