Fully Homomorphic Encryption for Privacy-Preserving Machine Learning Using the OpenFHE Library

Published in Association for the Advancement of Artificial Intelligence (AAAI), 2024

Summary: The OpenFHE team hosted a tutorial session at AAAI 2024, where we introduced fully-homomorphic encryption, ran through some simple examples, and walked participants through how to create an optimized encrypted logistic regression.