RRNS base extension error-correcting code for performance optimization of scalable reliable distributed cloud data storage M Babenko, A Tchernykh, B Pulido-Gaytan, JM Cortés-Mendoza, ... 2021 IEEE International Parallel and Distributed Processing Symposium …, 2021 | 17 | 2021 |
A comparison of commercial sentiment analysis services T Ermakova, B Fabian, E Golimblevskaia, M Henke SN Computer Science 4 (5), 477, 2023 | 9 | 2023 |
A comparative study of secure outsourced matrix multiplication based on homomorphic encryption M Babenko, E Golimblevskaia, A Tchernykh, E Shiriaev, T Ermakova, ... Big Data and Cognitive Computing 7 (2), 84, 2023 | 8 | 2023 |
About one property of number rank in RNS M Babenko, E Golimblevskaia 2021 IEEE Conference of Russian Young Researchers in Electrical and …, 2021 | 7 | 2021 |
Experimental evaluation of homomorphic comparison methods M Babenko, A Tchernykh, B Pulido-Gaytan, E Golimblevskaia, ... 2020 Ivannikov Ispras Open Conference (ISPRAS), 69-74, 2020 | 7 | 2020 |
Homomorphic comparison methods: technologies, challenges, and opportunities M Babenko, A Tchernykh, E Golimblevskaia, LB Pulido-Gaytan, ... 2020 International Conference Engineering and Telecommunication (En&T), 1-5, 2020 | 7 | 2020 |
Comparative analysis of homomorphic encryption algorithms based on learning with errors MG Babenko, EI Golimblevskaia, EM Shiriaev Труды института системного программирования РАН 32 (2), 37-51, 2020 | 7 | 2020 |
Euclidean division method for the homomorphic scheme ckks M Babenko, E Golimblevskaia 2021 IEEE Conference of Russian Young Researchers in Electrical and …, 2021 | 5 | 2021 |
Hardware implementation of the reverse conversion RNS-WNS on FPGA A Nazarov, M Babenko, E Golimblevskaia 2020 International Conference Engineering and Telecommunication (En&T), 1-5, 2020 | 4 | 2020 |
Computationally secure threshold secret sharing scheme with minimal redundancy. MG Babenko, A Tchernykh, E Golimblevskaia, NV Hung, V Chaurasiya ICCS-DE, 23-32, 2020 | 4 | 2020 |
Neural network method for base extension in residue number system. MG Babenko, E Shiriaev, A Tchernykh, E Golimblevskaia, I Bychkov, ... ICCS-DE 2020, 9-22, 2020 | 4 | 2020 |
Improvement of the Approximate Method for the Comparison Operation in the RNS E Shiryaev, E Golimblevskaia, M Babenko, A Tchernykh, B Pulido-Gaytan 2020 International Conference Engineering and Telecommunication (En&T), 1-6, 2020 | 3 | 2020 |
Weighted two-levels secret sharing scheme for multi-clouds data storage with increased reliability V Miranda-López, A Tchernykh, M Babenko, V Kuchukov, M Deryabin, ... 2019 International Conference on High Performance Computing & Simulation …, 2019 | 3 | 2019 |
Cryptographic primitives optimization based on the concepts of the residue number system and finite ring neural network A Tchernykh, M Babenko, B Pulido-Gaytan, E Shiryaev, E Golimblevskaia, ... International Conference on Optimization and Learning, 241-253, 2021 | 2 | 2021 |
Determining the rank of a number in the residue number system. MG Babenko, NN Kucherov, A Tchernykh, VA Kuchukov, ... ICCS-DE, 8-20, 2021 | 1 | 2021 |
Survey software implementations of homomorphic encryption methods E Golimblevskaia, E Shiriaev, N Kucherov Advances in Automation II: Proceedings of the International Russian …, 2021 | 1 | 2021 |
Nonlinear Filtration of Quasi-Gaussian Signals A Malofey, O Malofey, E Golimblevskaia, NN Kucherov, S Rassomahin 2021 IEEE Conference of Russian Young Researchers in Electrical and …, 2021 | | 2021 |
Efficient implementation of error correction codes in modular code. NN Kucherov, VA Kuchukov, E Golimblevskaia, NN Kuchukova, ... ICCS-DE, 107-118, 2021 | | 2021 |