Frimpong, E., Nguyen, K., Budzys, M., Khan, T., & Michalas, A. (2024). GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption.
Style de citation Chicago (17e éd.)Frimpong, Eugene, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, et Antonis Michalas. GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption. 2024.
Style de citation MLA (9e éd.)Frimpong, Eugene, et al. GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption. 2024.
Attention : ces citations peuvent ne pas être correctes à 100%.