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cs.CR2026
Perseus: A Full-Stack System for Homomorphic Model Inference
Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2
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 Encry…
cs.CR2026
HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2
Fully homomorphic encryption (FHE) allows a server to run a language model directly on encrypted user prompts, but current approaches remain prohibitively slow. Ciphertexts nativel…