2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Similarity Is Not Validity: Defending LLM Semantic Caches Against Poisoning
Zihan Zhang, Shuangjie Yao, Zesen Liu +8
Semantic caches reduce LLM serving costs by reusing previously generated answers for semantically similar queries. However, retrieval is based solely on embedding similarity betwee…
Tool Specifications Matter: Uncovering and Mitigating Safety Risks in AI Agents
Minghui Pan, Jiayuxuan Yang, Yuanyuan Yuan +2
AI agents extend large language models (LLMs) with external tools, enabling them to perform complex tasks and translate model outputs into consequential real-world actions. Yet LLM…
Evaluating Privilege Usage of Agents with Real-World Tools
Quan Zhang, Lianhang Fu, Lvsi Lian +5
Equipping LLM agents with real-world tools can substantially improve productivity. However, granting agents autonomy over tool use also transfers the associated privileges to both…
Emergent Risks in Generative Multi-Agent Systems
Yue Huang, Yu Jiang, Wenjie Wang +12
Multi-agent systems composed of large generative models are rapidly moving from laboratory prototypes to real-world deployments, where they jointly plan, negotiate, and allocate sh…