The 3D point cloud (3DPC) has significantly evolved and benefited from the advance of
deep learning (DL). However, the latter faces various issues, including the lack of data or …

With the significant development of large models in recent years, Large Vision-Language
Models (LVLMs) have demonstrated remarkable capabilities across a wide range of …

Face recognition is a prevailing authentication solution in numerous biometric applications.
Physical adversarial attacks, as an important surrogate, can identify the weaknesses of face …

Abstract 3D object detection from point clouds is crucial in safety-critical autonomous driving.
Although many works have made great efforts and achieved significant progress on this …

Recently, several attempts have demonstrated that 3D deep learning models are as
vulnerable to adversarial example attacks as 2D models. However, these methods are still …

Abstract Vision Transformers (ViTs), which made a splash in the field of computer vision
(CV), have shaken the dominance of convolutional neural networks (CNNs). However, in the …

Recent years have witnessed significant advancements in deep learning-based 3D object
detection, leading to its widespread adoption in numerous applications. As 3D object …

Adversarial attack on point clouds plays a vital role in evaluating and improving the
adversarial robustness of 3D deep learning models. Current attack methods are mainly …

Benefiting from the rapid development of deep learning, 2D and 3D computer vision
applications are deployed in many safe-critical systems, such as autopilot and identity …

Adversarial attacks have been successfully extended to the field of point clouds. Besides
applying the common perturbation guided by the gradient, adversarial attacks on point …