A walkthrough of the design of a system that can perform invisible watermarking operations on encrypted images using FHE.
This post highlights the winning solution of the Bounty Program Season 7, submitted by community member Palra.
At Zama, our goal is not only to make FHE accessible to all developers, but also to make it extremely fast.
Zama Concrete ML now supports training of Logistic Regression models on encrypted data.
A look at the design of an end-to-end encrypted version of Shazam using FHE
A Solution to a16z Nakamoto Challenge on Compliant Programmable Privacy using Fully Homomorphic Encryption