OS-SPEAR is a new evaluation toolkit that tests 22 OS agents and identifies trade-offs between efficiency and safety or robustness.
Eva: Red-teaming gui agents via evolving indirect prompt injection
3 Pith papers cite this work. Polarity classification is still indexing.
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Desktop GUI agents face TOCTOU attacks from UI state changes during the ~6.5s observation-to-action gap, with a three-layer pre-execution verification defense achieving 100% interception on two attack types but failing on DOM injection.
VeriOS-Agent is an OS agent that proactively queries humans in untrustworthy scenarios via a query-driven framework and three-stage training, achieving 19.72% higher step-wise success rate over baselines while preserving normal performance.
citing papers explorer
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OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents
OS-SPEAR is a new evaluation toolkit that tests 22 OS agents and identifies trade-offs between efficiency and safety or robustness.
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Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents
Desktop GUI agents face TOCTOU attacks from UI state changes during the ~6.5s observation-to-action gap, with a three-layer pre-execution verification defense achieving 100% interception on two attack types but failing on DOM injection.
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VeriOS: Query-Driven Proactive Human-Agent-GUI Interaction for Trustworthy OS Agents
VeriOS-Agent is an OS agent that proactively queries humans in untrustworthy scenarios via a query-driven framework and three-stage training, achieving 19.72% higher step-wise success rate over baselines while preserving normal performance.