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Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Previous PPML schemes replace non-arithmetic activation functions with simple arithmetic functions instead of adopting approximation methods and do not use bootstrapping, which enables continuous homomorphic evaluations.
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