EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 14·5 min read
Google Is Making Private AI Practical with Homomorphic Encryption
TL;DR
Google has introduced HEIR, an open-source compiler that enables cryptographically-secure private AI inference using homomorphic encryption, enhancing data privacy without sacrificing functionality.
✦ Why It Matters
Explore integrating HEIR into your AI applications to enhance data privacy today.
Key Takeaways
- Integrate HEIR to enable encrypted AI inference in your applications.
- Collaborate with hardware partners to optimize homomorphic encryption performance.
- Utilize HEIR for secure applications in finance and healthcare.
- Stay updated on peer-reviewed research leveraging HEIR for innovative solutions.
How It Works
HEIR converts pre-trained AI models to operate on encrypted inputs, allowing computations on encrypted data without revealing sensitive information. This is achieved through homomorphic encryption, which enables servers to process encrypted data and return results while maintaining user privacy.