src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections
arXiv:2610.06898v1 Announce Type: new Abstract: As GUI-based mobile agents rapidly progress, rigorous safety evaluation of their autonomous decision-making in realistic app interfaces becomes increasingly critical. Existing benchmarks mainly focus on execution-level anomalies using task success or hijack rates, but fail to capture the in-task goal deviation risk in multi-candidate selection tasks,
Reference details
- Source category
- Research & news
- Report title
DIBench: Benchmarking Decision Integrity of GUI-based Mobile Agents Under Deceptive Injections- First reported
- Oct 07, 2026 04:00 UTC
- Last reported
- Oct 07, 2026 04:00 UTC
- Catalog updated
- Oct 08, 2026 03:43 UTC
- Record ID
9c79c11d71b587357808b04d5bb0f60d9a9c478c0440af25dab90cc12937d19f
Published indicators
Network indicators are visibly defanged. This page does not make them clickable or send them to another service.
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Source observations
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Feed collection status
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1 sources: 0 stale, 0 needing attention, 0 paused, 1 unverified.
Review source update dates and status
- src_fb50be84b835134c75Collection status unverifiedLast successful batch: Unverified
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