Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption

Rickard Brännvall, Tony Zhang, Henrik Forsgren +3

This paper introduces efficient modifications to neural network-based sequence processing approaches, laying new grounds for scalable privacy-preserving machine learning under Full…