AI agents translate user intents into system actions via tool invocations. Accurately attributing these actions to their originating LLM interactions is essential for security auditing, yet existing methods, such as AgentSight, fail for delayed execution and cross-process-lineage behaviors. We present AgentLoupe, an ap...
Yi-Fei Bao, Ting Liu, Yu-Xin Ren et al.· Proceedings of the 5th Works...· 0 citations
Distributed Shared Memory (DSM) transparently provides a unified global address space across a cluster, simplifying the development and deployment of distributed applications. However, existing DSMs synchronize data at a static page, fixedblock, or object granularity, which cannot match the diverse and evolving spatial...
Rui-Zhe Huang, Ke Liang, Zi-Yuan He et al.· IEEE International Conferenc...· 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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