Concrete ML: A data-scientist-friendly toolkit for machine learning over encrypted data.

A talk from Benoit Chevallier-Mames, Director of the Machine Learning Division at Zama for the AIML foundation (Australian Institute for Machine Learning). Concrete-ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists. Particular care was given to the simplicity of our Python package in order to make it usable by any data scientist, even those without prior cryptography knowledge. Notably, our APIs are as close as possible to scikit-learn and torch APIs to simplify adoption by our users. #talk #aiml #machinelearning #zama #fhe #fullyhomomorphicencryption Presenter: Benoit Chevallier-Mames. Discover Concrete-ML: https://www.zama.ai/concrete-ml Use Concrete-ML: https://github.com/zama-ai/concrete-ml --------------------- Subscribe to @zama_fhe for more FHE content! ➡️ Discover what we do: https://www.zama.ai/ ➡️ We are open-source: https://github.com/zama-ai Find us here also: LinkedIn: https://www.linkedin.com/company/zama-ai Twitter: https://twitter.com/zama_fhe Community forum: https://community.zama.ai/