Luis Bernardo Pulido-Gaytan

According to our database, Luis Bernardo Pulido-Gaytan authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption.

Mikhail G. Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii V. Valuev, Arutyun Avetisyan, Lana A. Gagloeva

Big Data Cogn. Comput., 2023

Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison.

Bernardo Pulido-Gaytan, Andrei Tchernykh, Franck Leprévost, Pascal Bouvry, Alfredo Goldman

IEEE Access, 2023

2022

An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges.

Andrei Tchernykh, Mikhail G. Babenko, Egor Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, Viktor Andreevich Kuchukov

Comput., 2022

2021

Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities.

Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov

Peer-to-Peer Netw. Appl., 2021

Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation.

Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova

Program. Comput. Softw., 2021

Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding.

Mikhail G. Babenko, Anton Nazarov, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Irina Vashchenko

Program. Comput. Softw., 2021

Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network.

Andrei Tchernykh, Mikhail G. Babenko, Bernardo Pulido-Gaytan, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza

Proceedings of the Optimization and Learning - 4th International Conference, 2021

RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage.

Mikhail G. Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Egor Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Sergio Nesmachnow

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments.

Jorge M. Cortés-Mendoza, Gleb I. Radchenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Mikhail G. Babenko, Arutyun Avetisyan, Pascal Bouvry, Albert Y. Zomaya

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

2020

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System.

Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail G. Babenko, Luis Bernardo Pulido-Gaytan, Gleb I. Radchenko, Franck Leprévost, Xinheng Wang, Arutyun Avetisyan

Proceedings of the Supercomputing, 2020

A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption.

Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko

Proceedings of the High Performance Computing - 7th Latin American Conference, 2020

2019

Multi-objective Optimization of Vehicle Routing with Environmental Penalty.

Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Sergio Nesmachnow, Alfredo Cristóbal-Salas, Arutyun Avetisyan, Harold Enrique Castro Barrera, Carlos Jaime Barrios Hernández

Proceedings of the Supercomputing, 2019