April 29, 2024, 4:11 a.m. | Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

cs.CR updates on arXiv.org arxiv.org

arXiv:2404.16891v1 Announce Type: new
Abstract: Large language model (LLM) services have recently begun offering a plugin ecosystem to interact with third-party API services. This innovation enhances the capabilities of LLMs, but it also introduces risks, as these plugins developed by various third parties cannot be easily trusted. This paper proposes a new attacking framework to examine security and safety vulnerabilities within LLM platforms that incorporate third-party services. Applying our framework specifically to widely used LLMs, we identify real-world malicious attacks …

apis arxiv attacks cs.ai cs.cl cs.cr cs.cy language language models large party third third-party

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