[HUGGINGFACE]score: 0.55
AgentHijack Benchmark Tests Computer-Use Agents Against 9 Real-World Corruptions
May 24, 2026
AgentHijack evaluates MLLM-based computer-use agents under 9 configurable environment corruptions — including pop-ups, resolution changes, and competing applications — finding that even minor disruptions significantly degrade task completion. The benchmark targets non-adversarial robustness gaps in realistic desktop execution environments.
paper
HOW THIS AFFECTS YOU
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builderYou can use AgentHijack to stress-test desktop automation agents before production deployment, particularly for workflows where UI state is unpredictable.
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researcherFirst systematic robustness benchmark for computer-use agents under realistic non-adversarial corruptions; useful for evaluating Claude Computer Use, GPT-4o, and similar agents.