Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation 事件

Adversarial Attacks on Robot Localization Systems via Deep Feature Perturbation arXiv:2606.01892v1 Announce Type: new Abstract: Robot localization systems are critical for autonomous navigation and safety. Adversarial perturbations can mislead these systems, resulting in mislocalization, navigation errors, or unsafe interactions, especially in mission-critical scenarios. This paper investigates the vulnerability of deep learning based localization pipelines to adversarial attacks. We propose a