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. In Sergio Nesmachnow, Harold Castro, Andrei Tchernykh, editors, High Performance Computing - 7th Latin American Conference, CARLA 2020, Cuenca, Ecuador, September 2-4, 2020, Revised Selected Papers. Volume 1327 of Communications in Computer and Information Science, pages 115-129, Springer, 2020. [doi]
@inproceedings{Pulido-GaytanTC20,
title = {A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption},
author = {Luis Bernardo Pulido-Gaytan and Andrei Tchernykh and Jorge M. Cortés-Mendoza and Mikhail G. Babenko and Gleb I. Radchenko},
year = {2020},
doi = {10.1007/978-3-030-68035-0_9},
url = {https://doi.org/10.1007/978-3-030-68035-0_9},
researchr = {https://researchr.org/publication/Pulido-GaytanTC20},
cites = {0},
citedby = {0},
pages = {115-129},
booktitle = {High Performance Computing - 7th Latin American Conference, CARLA 2020, Cuenca, Ecuador, September 2-4, 2020, Revised Selected Papers},
editor = {Sergio Nesmachnow and Harold Castro and Andrei Tchernykh},
volume = {1327},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-3-030-68035-0},
}