Researchers unveil MEASER, a novel malware attack targeting open-source LLMs

Researchers have developed a new method called MEASER to embed malware within open-source large language models. This technique targets specific parameters to inject malicious payloads and triggers, aiming to evade detection even after model quantization or fine-tuning. Experiments on several popular LLMs demonstrated MEASER's high stealth rate and effectiveness in delivering payloads without significant performance degradation. AI

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IMPACT New attack vector against open-source LLMs could necessitate new security protocols for model deployment.

RANK_REASON Academic paper detailing a new attack method against open-source LLMs.

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• MEASER
• LLMs
• Qian Chen
• arXiv
• Hugging Face

• paper
• safety