TRACE

TRACE: Reconstructing Private Robot Trajectories from Policy Gradients in Embodied RL

具身強化學習的隱私危機：TRACE 演算法僅憑「策略梯度」即可重建機器人私密軌跡

This paper introduces TRACE, a rapid temporal gradient-inversion attack showing that sharing only policy gradients in embodied RL fails to prevent reconstruction of private observation-action trajectories.