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...
Li Hu, Kang-Hua Mo, Ying-Zi Jin et al.· 0 citations
As coding agents increasingly undertake real-world work autonomously, judging whether their risk treatments are warranted has become important. Existing work evaluates related agent behaviors from separate perspectives, but lacks a systematic framework for unifying these behaviors. To bridge this gap, we introduce Para...
Han-Jun Luo, Xiu-Cheng Zhang, Zhuo-Ning Xu et al.· 0 citations
MasDrift exposes a centralization tradeoff and makes authorization preservation a measurable property of MAS design, and a heterogeneous case study confirms that the failure follows from coordination rather than model strength.
Zhuo-Ning Xu, Xiu-Cheng Zhang, Han-Jun Luo et al.· 2 citations
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