MMPro: A Decoupled Perception-Thinking-Execution Framework for Secure GUI Agent
Benlong Wu, Yuang Qi, Xiuwei Shang, Weiming Zhang, Nenghai Yu, Kejiang Chen
摘要
Advances in automatic graphical user interface (GUI) agents have brought significant privacy and security challenges, especially cloud-based solutions that may leak sensitive data and be vulnerable to man-in-the-middle attacks. To address these issues, we propose MMPro, a novel GUI agent framework that adopts a separated perception-thinking-execution architecture. The perception module and the execution module process inputs locally to generate outputs to ensure security, and the thinking module operates on abstract representations to ensure the effectiveness of the GUI agent.By modularizing each stage while introducing a hybrid description language (HDL), MMPro transforms screen images into abstract structured representations, minimizing the risk of sensitive information leakage. Experimental results on the OSWorld benchmark show that MMPro outperforms existing GUI agent methods while ensuring strong privacy protection and real-time interaction capabilities. This work presents a pioneering approach to developing efficient, privacy-conscious, and explainable automated GUI agents.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper1
问问它们各自怎么用它相关 Paper
- PG-Agent: An Agent Powered by Page GraphWeizhi Chen, Ziwei Wang, Leyang Yang, Sheng Zhou 等ACM MM 2025
- Agent S: An Open Agentic Framework that Uses Computers Like a HumanSaaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang 等ICLR 2025 · 被引用 2 次
- MP-GUI: Modality Perception with MLLMs for GUI UnderstandingZiwei Wang, Weizhi Chen, Leyang Yang, Sheng Zhou 等CVPR 2025
- UIPro: Unleashing Superior Interaction Capability for GUI AgentsHongxin Li, Jingran Su, Jingfan Chen, Zheng Ju 等ICCV 2025
- Aguvis: Unified Pure Vision Agents for Autonomous GUI InteractionYiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu 等ICML 2025
