Kai-Lin Zhao

SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction

This paper introduces SeerGuard, a consequence-aware safety framework designed to mitigate risks through pre-execution instruction-level screening and action-level risk assessment, and constructs a unified safety-augmented world model (SAWM) via multi-task learning, integrating semantic next-state prediction with safet...