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News/MATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning
arxiv
PublishedSeptember 23, 2026 at 4:00 AM

MATE: Policy-Aware Security Auditing for Mobile Agents via Synthesis-Driven Trajectory Learning

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Publisher summary· verbatim

arXiv:2609.22724v1 Announce Type: cross Abstract: Mobile agents powered by foundation models now automate complex, multi-step workflows on real devices, but their trajectories can violate app-specific security policies. Existing trajectory-level defenses rely on LLM prompting or rigid rules, and thu

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