Watch · narrated walkthroughs
Fully homomorphic encryption computes directly on ciphertext, so a model you do not trust can run inference on a prompt it never sees in the clear — at a real, quantifiable performance tax. This series builds FHE from the noise-growth problem and bootstrapping through the scheme families, private neural-network inference, and an honest comparison with trusted hardware and multi-party computation. Grounded in Gentry, BGV, and CKKS.