This video tutorial shows you how easy it is to turn a scikit-learn model into its FHE equivalent
An example on how to deploy Concrete ML models
Concrete ML v1.0.0 features a stable API, better inference performance, and user-friendly error reporting.
This tutorial introduces a way to apply image filters, such as the use of blurring and sharpening tools, on encrypted images.
The team was recently invited to present Concrete ML at Google Tech Talks
Some exciting new features such as fast, high-precision linear models and support for 16-bit accumulators...