WebTrap uses multi-step instruction fusion and context-grounded generation to stealthily hijack browser agents mid-navigation while preserving original task success.
OmniACT: A dataset and benchmark for enabling multimodal generalist autonomous agents for desktop and web
2 Pith papers cite this work, alongside 4 external citations. Polarity classification is still indexing.
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A survey of 87 agents for computer use and 33 datasets that introduces a three-dimensional taxonomy across domain, interaction, and agent perspectives and identifies six research gaps.
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WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation
WebTrap uses multi-step instruction fusion and context-grounded generation to stealthily hijack browser agents mid-navigation while preserving original task success.
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A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
A survey of 87 agents for computer use and 33 datasets that introduces a three-dimensional taxonomy across domain, interaction, and agent perspectives and identifies six research gaps.