Paper list

• 1051 Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving? Autonomous Vehicle Object detection LiDAR PIXOR VoxelNet PointPillars F-PointNet KITTI dataset
• 1543 Poltergeist: Acoustic Adversarial Machine Learning against Cameras and Computer Vision Autonomous Vehicle Object detection Camera YOLO Faster R-CNN Apollo BDD100K KITTI Physical-World
• 1754 Physically Realizable Adversarial Examples for LiDAR Object Detection Autonomous Vehicle Object detection LiDAR manualSet KITTI dataset PIXOR PointRCNN PointPillar HDL-64E Adversarial object
• 1756 Object Removal Attacks on LiDAR-based 3D Object Detectors Autonomous Vehicle Object detection LiDAR manualSet KITTI Point-GNN PointRCNN
• 1758 Adversarial Attacks against LiDAR Semantic Segmentation in Autonomous Driving Autonomous Vehicle Object detection LiDAR manualSet Semantic segmentation SemanticKITTI PointNet SqueezeSeg Cylinder3D PointNet++ PointASNL Physical-World Attack Moving Victim Vehicle
• 1761 Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving Autonomous Vehicle MSF manualSet KITTI XENITH LiDAR Camera
• 1766 Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection Autonomous Vehicle manualSet Camera LiDAR MSF KITTI YOLOv3 EPNet PointRCNN Module-level Virtual evaluation