SOURCE-LINKED INTELLIGENCE
Invisible in Space, Visible in Time: Motion Vision CAPTCHA against GUI Agents
Most existing visual CAPTCHAs remain spatially solvable: the required information is exposed by static appearance, local structure, and interface state. This assumption is weakened by advances in multimodal large language models (MLLMs) and Graphical User Interface (GUI) agents, which exhibit strong visual perception, reasoning, and browser interaction capabilities. We propose Motion Vision CAPTCHA (MVCAP), a hierarchical motion-based CAPTCHA framework in which target semantics are instantiated as motion-defined foreground structures and become recoverable only through temporal segregation fro
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T07:27:23.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.