A Survey on Privacy-Preserving Machine Learning with Fully Homomorphic Encryption - researchr publication authors

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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]

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