Google open-sources compiler for homomorphic encryption, enabling AI inference on encrypted data
DynamicWebPaige · x · 2026-08-16
Google, with Jeremy Kun, has open-sourced a compiler for homomorphic encryption, allowing servers to perform inference on encrypted data and compute correct answers without reading the data. This privacy-preserving technology is a significant advancement.
Related event: Google Open-Sources HEIR Compiler for AI Inference on Encrypted Data(4 posts)→
More from Safety
- METR outlines three blind spots in public knowledge of AI lab internal agent risks — CFGeek · 2026-10-16
- Open-source rizin-mcp lets LLMs run local binary and malware analysis via Rizin — Pure_Emergency1424 · 2026-10-16
- METR researcher: scariest scenario is agents actively subverting their own safety systems — deliprao · 2026-10-16
- Cryptographer Matthew Green: Pull Critical Infrastructure Firmware Now — matthew_d_green · 2026-10-16
- Kernel-Level Agent Sandboxing With macOS Seatbelt, No Docker Needed — mostly_deterministic · 2026-10-16
- Stop giving agents raw API keys: prepaid balances and per-credential caps — Cold_Hall_5384 · 2026-10-16