A privacy-preserving machine learning inference engine that enables secure predictions on encrypted data using the Paillier cryptosystem. This project demonstrates evaluating a linear model (e.g., ...
Abstract: Fully Homomorphic Encryption (FHE) plays an important role in privacy-preserving computation on the cloud. It allows computations on encrypted data without decryption. Bootstrapping is a ...
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