During the TikTok Hackathon, a group of students from NUS developed an ad-serving system built on Zama's Concrete ML.
In this tutorial, Zama team member Celia Kherfallah, shows you how to build an encrypted DNA testing with FHE using Concrete ML.
Concrete ML v1.7 introduces fine-tuning models on encrypted data, GPU acceleration, and DNA ancestry applications.
In this tutorial, Zama team member Jordan Frery, shows you how to improve the latency for larger neural networks in Concrete ML.
At Zama, our goal is not only to make FHE accessible to all developers, but also to make it extremely fast.
How to design and code a privacy-preserving version of 23andMe-like (or other DNA testing apps) using Zama Concrete ML