Attacking Vision-Language Computer Agents via Pop-ups
Yanzhe Zhang, Tao Yu, Diyi Yang
- 🏛 Institutions
- Georgia Tech, HKU, Stanford
- 📅 Date
- November 4, 2024
- 📑 Publisher
- ACL 2025
- 💻 Env
- Desktop Web
- 🔑 Keywords
TLDR
Shows that vision-language computer agents can be reliably distracted by adversarial pop-ups that human users would typically ignore. On OSWorld and VisualWebArena, these pop-ups achieve high attack success rates and sharply reduce task completion, while simple defenses like warning prompts remain ineffective.
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