Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds

arXiv:2403.05247v1 Announce Type: new
Abstract: Adversarial attack methods based on point manipulation for 3D point cloud classification have revealed the fragility of 3D models, yet the adversarial examples they produce are easily perceived or defended against. The trade-off between the imperceptibility and adversarial strength leads most point attack methods to inevitably introduce easily detectable outlier points upon a successful attack. Another promising strategy, shape-based attack, can effectively eliminate outliers, but existing methods often suffer significant reductions in imperceptibility due to …

adversarial arxiv cs.cv eess.iv hide type