collaborators

7 papers

cs.CR2026

Uncovering Security Threats and Architecting Defenses in Autonomous Agents: A Case Study of OpenClaw

Zonghao Ying, Xiao Yang, Siyang Wu +7

The rapid evolution of Large Language Models (LLMs) into autonomous, tool-calling agents has fundamentally altered the cybersecurity landscape. Frameworks like OpenClaw grant AI sy…

cs.RO2026

ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving

Xuemei Yao, Xiao Yang, Jianbin Sun +5

Generating safe and reliable trajectories for autonomous vehicles in long-tail scenarios remains a significant challenge, particularly for high-lateral-acceleration maneuvers such…

cs.CL2026

AgentHallu: Benchmarking Automated Hallucination Attribution of LLM-based Agents

Xuannan Liu, Xiao Yang, Zekun Li +2

As LLM-based agents operate over sequential multi-step reasoning, hallucinations arising at intermediate steps risk propagating along the trajectory, thus degrading overall reliabi…

cs.AI2025

RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic

Le Wang, Zonghao Ying, Xiao Yang +7

Embodied agents powered by vision-language models (VLMs) are increasingly capable of executing complex real-world tasks, yet they remain vulnerable to hazardous instructions that m…

cs.CV2025

PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation

Zonglei Jing, Xiao Yang, Xiaoqian Li +4

Text-to-image (T2I) models have demonstrated remarkable generative capabilities but remain vulnerable to producing not-safe-for-work (NSFW) content, such as violent or explicit ima…

cs.AI2025

GUARDIAN: Safeguarding LLM Multi-Agent Collaborations with Temporal Graph Modeling

Jialong Zhou, Lichao Wang, Xiao Yang

The emergence of large language models (LLMs) enables the development of intelligent agents capable of engaging in complex and multi-turn dialogues. However, multi-agent collaborat…

cs.CV2025

How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM

Jirong Zha, Yuxuan Fan, Xiao Yang +2

3D spatial understanding is essential in real-world applications such as robotics, autonomous vehicles, virtual reality, and medical imaging. Recently, Large Language Models (LLMs)…