Gait recognition is widely used in social security applications due to its advantages long-distance human identification. Recently, sequence-based methods have achieved high accuracy by learning abundant temporal and spatial information. However, their robustness under adversarial attacks an open world has not been clearly explored. In this paper, we demonstrate that the state-of-the-art gait m...