Follow
Bernardo Pulido-Gaytan
Bernardo Pulido-Gaytan
Ph.D. Student, CICESE Research Center, Mexico
Verified email at cicese.edu.mx - Homepage
Title
Cited by
Cited by
Year
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities
B Pulido-Gaytan, A Tchernykh, JM Cortés-Mendoza, M Babenko, ...
Peer-to-Peer Networking and Applications 14 (3), 1666-1691, 2021
602021
A survey on privacy-preserving machine learning with fully homomorphic encryption
LB Pulido-Gaytan, A Tchernykh, JM Cortés-Mendoza, M Babenko, ...
Latin American High Performance Computing Conference, 115-129, 2020
292020
Performance impact of error correction codes in RNS with returning methods and base extension
E Shiryaev, E Bezuglova, M Babenko, A Tchernykh, B Pulido-Gaytan, ...
2021 International Conference Engineering and Telecommunication (En&T), 1-5, 2021
82021
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
82021
Privacy-preserving logistic regression as a cloud service based on residue number system
JM Cortés-Mendoza, A Tchernykh, M Babenko, LB Pulido-Gaytán, ...
Russian Supercomputing Days, 598-610, 2020
82020
An efficient method for comparing numbers and determining the sign of a number in RNS for even ranges
A Tchernykh, M Babenko, E Shiriaev, B Pulido-Gaytan, ...
Computation 10 (2), 17, 2022
42022
Algorithm for constructing modular projections for correcting multiple errors based on a redundant residue number system using maximum likelihood decoding
M Babenko, A Nazarov, A Tchernykh, B Pulido-Gaytan, ...
Programming and Computer Software 47, 839-848, 2021
42021
LR-GD-RNS: enhanced privacy-preserving logistic regression algorithms for secure deployment in untrusted environments
JM Cortés-Mendoza, G Radchenko, A Tchernykh, B Pulido-Gaytan, ...
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet …, 2021
42021
Toward digital twins' workload allocation on clouds with low-cost microservices streaming interaction
A Tchernykh, A Facio-Medina, B Pulido-Gaytan, R Rivera-Rodriguez, ...
2020 Ivannikov Ispras Open Conference (ISPRAS), 115-121, 2020
42020
Dynamic performance–Energy tradeoff consolidation with contention-aware resource provisioning in containerized clouds
RM Canosa-Reyes, A Tchernykh, JM Cortés-Mendoza, B Pulido-Gaytan, ...
Plos one 17 (1), e0261856, 2022
32022
Experimental evaluation of homomorphic comparison methods
M Babenko, A Tchernykh, B Pulido-Gaytan, E Golimblevskaia, ...
2020 Ivannikov Ispras Open Conference (ISPRAS), 69-74, 2020
32020
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
32020
Multi-objective optimization of vehicle routing with environmental penalty
LB Pulido-Gaytan, A Tchernykh, S Nesmachnow, A Cristóbal-Salas, ...
Supercomputing: 10th International Conference on Supercomputing in Mexico …, 2019
32019
Towards the Sign Function Best Approximation for Secure Outsourced Computations and Control
M Babenko, A Tchernykh, B Pulido-Gaytan, A Avetisyan, S Nesmachnow, ...
Mathematics 10 (12), 2006, 2022
22022
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
22020
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
12023
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
12021
Towards Understanding Efficient Privacy-Preserving Homomorphic Comparison
B Pulido-Gaytan, A Tchernykh, F Leprévost, P Bouvry, A Goldman
IEEE Access, 2023
2023
A survey on multi-cloud storage security: threats and countermeasures
ES Bezuglova, EM Shiriaev, MG Babenko, A Tchernykh, B Pulido-Gaytan, ...
2023
Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation
N Vershkov, M Babenko, A Tchernykh, B Pulido-Gaytan, ...
Programming and Computer Software 47, 830-838, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20