🥝FHE

Fully Homomorphic Encryption

Fully Homomorphic Encryption (FHE)

FHE is a cryptographic tool that enables computations to be performed on encrypted data without ever requiring decryption. FHE allows arbitrary computations over ciphertexts, generating an encrypted result that matches the output of operations performed on the plaintext.

Performance benchmark from zama.ai

FHE Machine Learning (FHEML)

FHEML is the application of FHE to enable privacy-preserving machine learning. FHEML allows data, models and predictions to remain encrypted throughout the ML lifecycle, protecting sensitive information from exposure.