google/fully-homomorphic-encryption

Health v2 · maintenance only

Adoption not part of the score

3708 stars · 274 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Google's repository of demos for fully homomorphic encryption (FHE), originally a C++ transpiler and now showcasing the HEIR MLIR-based FHE compiler toolchain and Jaxite backend. FHE allows computation on encrypted data, enabling privacy-preserving machine learning inference without decrypting inputs.

Use cases

• run machine learning inference on encrypted data
• convert existing models to FHE-compatible versions
• learn how fully homomorphic encryption works with demos
• process sensitive user data without server-side exposure
• experiment with privacy-preserving computation toolchains

When to choose

• you want working demos of privacy-preserving encrypted inference
• you need to explore Google's FHE ecosystem including HEIR and Jaxite
• you want to compile models to run on encrypted data without cryptography expertise

When to avoid

• you need a production-ready FHE library rather than demos
• you need high-performance general-purpose encryption rather than encrypted computation
• you want the original transpiler, which is archived

Facets

library · maturity maintenance

compiler cryptography security privacy machine-learning privacy machine-learning compilers security cpp python cross-platform fully-homomorphic-encryption fhe mlir transpiler private-inference demos cryptography

Member repositories

For agents

markdown · JSON · MCP: product_card(name="google/fully-homomorphic-encryption")