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Issue Date	Title	Author(s)
2021	A survey on privacy-preserving machine learning with fully homomorphic encryption	Babenko, M. G.; Бабенко, М. Г.
2024	Enhancing Cloud Security through Efficient Polynomial Approximations for Homomorphic Evaluation of Neural Network Activation Functions	Babenko, M. G.; Бабенко, М. Г.
2021	LR-GD-RNS: Enhanced privacy-preserving logistic regression algorithms for secure deployment in untrusted environments	Babenko, M. G.; Бабенко, М. Г.
2021	Multi-cloud privacy-preserving logistic regression	Babenko, M. G.; Бабенко, М. Г.
2025	Privacy-Preserving Convolutional Neural Networks with CKKS-RNS for Encrypted Image Classification	Babenko, M. G.; Бабенко, М. Г.
2020	Privacy-preserving logistic regression as a cloud service based on residue number system	Babenko, M. G.; Бабенко, М. Г.
2021	Privacy-preserving neural networks with Homomorphic encryption: Challenges and opportunities	Babenko, M. G.; Бабенко, М. Г.

Showing results 1 to 7 of 7