arXiv:2611.04488v1 Announce Type: new Abstract: Large Language Models (LLMs) have made it exceptionally convenient for users to send their private data to model providers, which process them in plaintext. Fully Homomorphic Encryption (FHE) promises to secure remote inference by computing directly on encrypted data, yet it has remained prohibitively slow.
Perseus: A Full-Stack System for Homomorphic Model Inference
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