Mert Gulsen, Batuhan Cengiz, Yusuf H. Sahin, Gozde Unal
TL;DR通过对 3D 点云进行逐层扩散的防御策略,本研究提出了一种新的防御方法,用于评估 3D 点云模型的鲁棒性,并证明该方法在抵御对抗性攻击方面表现出与现有方法相当甚至更好的结果。
Abstract
point clouds are extensively employed in a variety of real-world applications
such as robotics, autonomous driving and augmented reality. Despite the recent
success of point cloud neural networks, especially for