An End-to-End Homomorphically Encrypted Neural Network

Marcos Florencio, Luiz Alencar, Bianca Lima

Every commercially available, state-of-the-art neural network consume plain input data, which is a well-known privacy concern. We propose a new architecture based on homomorphic en…