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MEASER: Malware embedding attacks on open-source LLMs
MEASER attack embeds malware into open-source LLMs, creating supply chain security risks.
Summary written by editorial AI · Source link below
arXiv:2510.10486v2 Announce Type: replace Abstract: Open-source large language models (LLMs) have demonstrated considerable dominance over proprietary LLMs in resolving neural processing tasks, thanks to the collaborative and sharing nature. Although full access to source codes, model parameters, and training data lays the groundwork for transparency, we argue that such a full-access manner is vulnerable to MEAs, and their ill-effects are not fully understood. In this paper, we conduct a system
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Read the full report at arXiv Crypto & SecurityExternal link — opens at arXiv Crypto & Security in a new tab.
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