Running Privacy-Preserving Inferences on Hugging Face Endpoints

Benoit Chevallier-Mames's avatar

This is a guest blog post by the Zama team. Zama is an open source cryptography company building state-of-the-art FHE solutions for blockchain and AI.

Eighteen months ago, Zama started Concrete ML, a privacy-preserving ML framework with bindings to traditional ML frameworks such as scikit-learn, ONNX, PyTorch, and TensorFlow. To ensure privacy for users’ data, Zama uses

 

 

 

To finish reading, please visit source site