๐ArXiv AIโขStalecollected in 7h
Benchmark Humanizes Mobile GUI Agents
๐กNew benchmark + dataset to make GUI agents undetectable by platforms
โก 30-Second TL;DR
What Changed
Models agent humanization as MinMax optimization between detector and agent.
Why It Matters
Shifts agent research from task utility to stealthy human-like behavior, essential for surviving platform countermeasures. Enables practical deployment of GUI agents in real-world apps without detection risks.
What To Do Next
Download AHB dataset from arXiv and test humanization on your LMM-based GUI agents.
Who should care:Researchers & Academics
Key Points
- โขModels agent humanization as MinMax optimization between detector and agent.
- โขNew dataset of human mobile touch dynamics exposes LMM agent flaws.
- โขAHB benchmark quantifies imitability-utility trade-off with detection metrics.
- โขProposes heuristic noise and data-driven methods for undetectable agents.
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Original source: ArXiv AI โ