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This repository gathers Google’s practical tooling for Fully Homomorphic Encryption (FHE), focused on making it possible to run computations on encrypted data without ever decrypting it. At its core is a “transpiler” that converts ordinary functions (typically written in a restricted subset of C++ or similar) into FHE circuits, plus backends that execute those circuits with different FHE libraries. The workflow usually mirrors normal software development: write and test a cleartext implementation, run a simulator to validate logic and performance characteristics, then compile to an encrypted form to run with real FHE parameters. The project includes benchmarking harnesses, examples, and tutorials that demystify parameter selection, gate costs, and latency/throughput trade-offs. Multiple runtimes and backends are supported so teams can choose Boolean or integer schemes depending on accuracy and speed needs.
Features
- Source-to-FHE transpiler that turns functions into encrypted circuits
- Pluggable backends targeting different FHE libraries and schemes
- Cleartext simulation for correctness before encrypted execution
- Benchmarking utilities to profile latency and circuit size
- Example libraries and tutorials for common arithmetic and ML kernels
- Parameterization helpers for security levels and precision
Project Samples
