In this tutorial, Zama team member Roman Bredehoft, shows you how to work with encrypted DataFrames using Concrete ML.
Concrete ML v1.5 introduces a new DataFrame API and a new option that speeds up neural networks.
Zama Concrete ML now supports training of Logistic Regression models on encrypted data.
A tutorial on how to code a privacy-preserving version of Shazam using Zama Concrete ML.
A look at the design of an end-to-end encrypted version of Shazam using FHE
This tutorial walks you through one of the latest features of Concrete ML: FHE training.