CoreGuard offers efficient protection for LLMs against model theft on edge devices

A new method called CoreGuard has been developed to protect large language models (LLMs) deployed on edge devices from model stealing attacks. Existing defenses are often too computationally expensive for edge environments. CoreGuard offers an efficient protocol to minimize both computational and communication overhead while providing strong security against unauthorized extraction and exploitation of LLM capabilities. AI

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IMPACT Provides a more efficient security solution for deploying LLMs on edge devices, potentially enabling wider adoption in privacy-sensitive applications.

RANK_REASON This is a research paper detailing a new method for LLM security.

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• CoreGuard
• LLMs
• arXiv
• Qinfeng Li

• paper
• safety