3D perception of objects is critical for many real-world applications, such as autonomous cars and robots. Among them, most state-of-the-art (SOTA) systems are based on deep learning models. Recently, the research community found that object classifiers point cloud easily fooled by adversarial craft attackers. To overcome this, defenses considered effective ways to improve robustness models, fo...