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Google unveils HEIR compiler for practical private AI with homomorphic encryption

Google has introduced HEIR, an open-source compiler designed to make homomorphic encryption practical for AI inference. This technology allows computations to be performed on encrypted data, enhancing privacy for sensitive sectors like healthcare and finance. While homomorphic encryption has historically been complex to implement, HEIR aims to simplify its use for developers, enabling AI applications to process user data without direct access to it. Google has collaborated with hardware accelerator companies and academic institutions to advance HEIR's capabilities and explore its applications. AI

IMPACT Enhances privacy for AI applications, potentially enabling wider adoption in sensitive sectors by allowing computation on encrypted data.

RANK_REASON Google announced a new open-source compiler toolchain for homomorphic encryption.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Google unveils HEIR compiler for practical private AI with homomorphic encryption

COVERAGE [2]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · u1hcw9nx ·

    Google is making private AI practical with homomorphic encryption

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🤡 Oh great, # Google is promising "private" # AI with # homomorphic # encryption , because we all know how trustworthy they are with our data! 😂 Let's just igno

    🤡 Oh great, # Google is promising "private" # AI with # homomorphic # encryption , because we all know how trustworthy they are with our data! 😂 Let's just ignore the fact that most of us can't even pronounce "homomorphic," but sure, it'll definitely solve world # privacy issues.…