Story
Google is making private AI practical with homomorphic encryption
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Overview
HEIR is an open-source compiler in Google's Private Computing Toolkit that enables cryptographically-secure private AI inference using homomorphic encryption. This tool addresses the balance between privacy and security in AI applications.
Summary from blog.google.
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Hacker News · blog.google
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Based on 5 sampled comments from this thread. Analyzed 2026-08-14.
- Praise: The emergence of homomorphic encryption in AI is a thrilling development, hinting at a future where privacy can coexist with powerful data analysis.
- Praise: Big players like Google diving into homomorphic encryption for ML is a sign of progress, even if commercial viability is still a few years off.
- Concern: High overheads of homomorphic encryption make it commercially unviable for real-world applications right now, raising doubts about its practicality.
- Concern: There's skepticism about Google's intentions, with many feeling that they can't be trusted to genuinely prioritize user privacy.