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Christopher M. Poskitt

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#artificial intelligence Preprint Sep 2026

Representation Transitions Reveal Emerging Safety Risks in Multi-Turn LLM Agents

Multi-turn attacks on agentic systems can compose individually permissible actions into harmful outcomes, challenging defenses that assess actions or states in isolation. We show that such attacks leave a detectable signature in the agent's internal representations: harmful behavior emerges as an accumulated representa...

Hao-Yu Wang, Wei Zhao, Ye-Di Zhang et al. · 1 citation
Review Open access 2026

Anomaly Management in Unmanned Aerial Vehicles: A Systematic Literature Review

This survey presents a comprehensive review of research studies closely related to UAV anomalies published between 2015 and 2025, covering 111 papers from academic and industrial sources, and introduces a unified five-pillar taxonomy that organizes existing work across the full anomaly management lifecycle.

Ivan Tan, Christopher M. Poskitt, Ling-Xiao Jiang et al. · 0 citations

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