Large language model (LLM) routers are increasingly deployed to optimize quality, latency, and cost through dynamic model selection and request rewriting. However, a compromised router can cause ineligible selection on the control plane, unendorsed rewriting or unfaithful relay on the data plane, undermining LLM routin...
Meng-Yu Yao, Zi-Qi Zhang, Shao-Fei Li et al.· 0 citations
The rapid evolution of WebAssembly (Wasm) has led to significant implementation inconsistencies between its specification and the behavior of various Wasm runtimes, posing critical threats to application reliability and security. Verifying that a runtime's implementation adheres to the natural-language specification is...
Ye-Qi Fu, Kai-Hang Ji, Yuan-Peng Wang et al.· Proceedings of the ACM on So...· 0 citations
The rapid advancement of large language models (LLMs) has created a growing asymmetry in cybersecurity, where attack accelerates toward autonomous execution while defense remains predominantly human-intensive. Despite substantial prior work across cyber ranges, AI-driven attack, and AI-driven defense, this asymmetry pe...
Yuhan Meng, Shao-Fei Li, Jiong-Hao Huang et al.· 0 citations
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