Published : Apr 03, 2024
Apr 2024
Assess Worth exploring with the goal of understanding how it will affect your enterprise.
Previously, we blipped the hom*omorphic Encryption technique that allows computations to be performed directly on encrypted data. Concrete ML is one such open-source tool that allows for privacy-preserving machine learning. Built on top of Concrete, it simplifies the use of fully hom*omorphic encryption (FHE) for data scientists to help them automatically turn machine learning models into their hom*omorphic equivalent. Concrete ML's built-in models have APIs that are almost identical to their scikit-learn counterparts. You can also convert PyTorch networks to FHE with Concrete ML's conversion APIs. Note, however, that FHE with Concrete ML could be slow without tuned hardware.
