9 citations · 15 across the 4 of their papers we have counts for
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3 papers · 1 filter
cs.CR2024★ 2 cited
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
Sheng Yin, Xianghe Pang, Yuanzhuo Ding +7
With the integration of large language models (LLMs), embodied agents have strong capabilities to understand and plan complicated natural language instructions. However, a foreseea…
cs.CR2024★ 2 cited
Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models
Zhenyang Ni, Rui Ye, Yuxi Wei +3
Vision-Large-Language-models(VLMs) have great application prospects in autonomous driving. Despite the ability of VLMs to comprehend and make decisions in complex scenarios, their…
cs.CR2023★ 2 cited
Malicious Agent Detection for Robust Multi-Agent Collaborative Perception
Yangheng Zhao, Zhen Xiang, Sheng Yin +3
Recently, multi-agent collaborative (MAC) perception has been proposed and outperformed the traditional single-agent perception in many applications, such as autonomous driving. Ho…