Homomorphic Encryption

Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Networks

This paper demonstrates running deep neural network inference entirely on encrypted data using fully homomorphic encryption, so the server never sees plaintext inputs or outputs. It makes encrypted ML inference practical by combining FHE with approximation-friendly neural network architectures.