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ORCIDLuis Bernardo Pulido-Gaytan
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Journal Articles
- 2023
[j6]Bernardo Pulido-Gaytan
, Andrei Tchernykh, Franck Leprévost, Pascal Bouvry, Alfredo Goldman:
Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access 11: 102189-102206 (2023)- [j5]Mikhail G. Babenko, Elena Golimblevskaia, Andrei Tchernykh, Egor M. Shiriaev, Tatiana Ermakova, Luis Bernardo Pulido-Gaytan, Georgii V. Valuev, Arutyun Avetisyan, Lana A. Gagloeva:
A Comparative Study of Secure Outsourced Matrix Multiplication Based on Homomorphic Encryption. Big Data Cogn. Comput. 7(2): 84 (2023) - 2022
- [j4]Andrei Tchernykh, Mikhail G. Babenko, Egor M. Shiriaev, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Arutyun Avetisyan, Alexander Yu. Drozdov, Viktor Andreevich Kuchukov:
An Efficient Method for Comparing Numbers and Determining the Sign of a Number in RNS for Even Ranges. Comput. 10(2): 17 (2022) - 2021
- [j3]Nikolay A. Vershkov, Mikhail G. Babenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Viktor Andreevich Kuchukov, Nataliya Nikolaevna Kuchukova:
Optimization of Neural Network Training for Image Recognition Based on Trigonometric Polynomial Approximation. Program. Comput. Softw. 47(8): 830-838 (2021) - [j2]Mikhail G. Babenko, Anton S. Nazarov, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Irina Vashchenko:
Algorithm for Constructing Modular Projections for Correcting Multiple Errors Based on a Redundant Residue Number System Using Maximum Likelihood Decoding. Program. Comput. Softw. 47(8): 839-848 (2021) - [j1]Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko, Arutyun Avetisyan, Alexander Yu. Drozdov:
Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities. Peer-to-Peer Netw. Appl. 14(3): 1666-1691 (2021)
Conference and Workshop Papers
- 2024
- [c7]Bernardo Pulido-Gaytan, Andrei Tchemykh, Mikhail G. Babenko, Jorge M. Cortés-Mendoza, Horacio González-Vélez, Arutyun Avetisyan:
Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions. CCGridW 2024: 42-49 - 2021
- [c6]Jorge M. Cortés-Mendoza, Gleb I. Radchenko, Andrei Tchernykh, Bernardo Pulido-Gaytan, Mikhail G. Babenko, Arutyun Avetisyan, Pascal Bouvry, Albert Y. Zomaya:
LR-GD-RNS: Enhanced Privacy-Preserving Logistic Regression Algorithms for Secure Deployment in Untrusted Environments. CCGRID 2021: 770-775 - [c5]Mikhail G. Babenko, Andrei Tchernykh, Luis Bernardo Pulido-Gaytan, Jorge M. Cortés-Mendoza, Egor M. Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Sergio Nesmachnow:
RRNS Base Extension Error-Correcting Code for Performance Optimization of Scalable Reliable Distributed Cloud Data Storage. IPDPS Workshops 2021: 548-553 - [c4]Andrei Tchernykh, Mikhail G. Babenko, Bernardo Pulido-Gaytan, Egor M. Shiryaev, Elena Golimblevskaia, Arutyun Avetisyan, Nguyen Viet Hung, Jorge M. Cortés-Mendoza:
Cryptographic Primitives Optimization Based on the Concepts of the Residue Number System and Finite Ring Neural Network. OLA 2021: 241-253 - 2020
- [c3]Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Jorge M. Cortés-Mendoza, Mikhail G. Babenko, Gleb I. Radchenko:
A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption. CARLA 2020: 115-129 - [c2]Jorge M. Cortés-Mendoza, Andrei Tchernykh, Mikhail G. Babenko, Luis Bernardo Pulido-Gaytan, Gleb I. Radchenko, Franck Leprévost, Xinheng Wang, Arutyun Avetisyan:
Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System. RuSCDays 2020: 598-610 - 2019
- [c1]Luis Bernardo Pulido-Gaytan, Andrei Tchernykh, Sergio Nesmachnow, Alfredo Cristóbal-Salas, Arutyun Avetisyan, Harold Enrique Castro Barrera, Carlos Jaime Barrios Hernández:
Multi-objective Optimization of Vehicle Routing with Environmental Penalty. ISUM 2019: 147-162
Coauthor Index
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