Xuanzhu Chen

Gradient-Based Adversarial Attacks on Deep LiDAR Odometry

Adversarial attacks have been recently investigated in LiDAR perception problems for autonomous driving, where a small perturbation of source inputs can result in incorrect predictions. However, most previous studies focus on attacks on single-frame perception modules, lacking explorations of attack