researchAug 2
Towards Encrypted Large Language Models with FHE
Researchers propose using Fully Homomorphic Encryption (FHE) to enable secure inference on large language models. This approach allows computations on encrypted data without decryption, preserving user privacy. Builders can integrate FHE into existing models for enhanced security. FHE-based LLMs have potential applications in sensitive domains like healthcare and finance.
Key takeaways
- FHE enables computations on encrypted data without decryption.
- Encrypted LLMs can preserve user privacy in sensitive domains.
- FHE integration is feasible with existing models.