GoKawiilGoogle's HEIR project shows compiler for encrypted ML inference maturing
Google published a companion technical article detailing progress on HEIR, its open-source compiler that transforms programs so they run directly on encrypted data using homomorphic encryption. The team demonstrated compiling several small but functional pre-trained ML models, including a three-layer fraud-detection network, into homomorphically encrypted versions runnable via a public GitHub repository built with Bazel. The author also outlines internal workings and a roadmap for the project's future development.