G&G Attack: General and Geometry-Aware Adversarial Attack on the Point Cloud
Deep neural networks have been shown to produce incorrect predictions when imperceptible perturbations are introduced into the clean input.This phenomenon has garnered significant attention and extensive research in 2D images.However, related work on point clouds is still in its infancy.Current methods suffer from issues such as generated point out