Paper list

• 275 PoF: Proof-of-Following for Vehicle Platoons Vehicle Autonomous Vehicle Platoon V2V
• 284 Privacy in Urban Sensing with Instrumented Fleets, Using Air Pollution Monitoring As A Usecase Privacy Cyber-physical Vehicle
• 295 What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction Adversarial examples ML DNN AE detection Autonomous Vehicle
• 310 Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Autonomous Vehicle Object detection Traffic sign recognition Camera
• 318 Systematic Discovery of Denial-of-Service Vulnerability in Autonomous Driving Planning under Physical-World Attacks Autonomous Vehicle Planning Apollo LGSVL
• 352 Stealthy Tracking of Autonomous Vehicles with Cache Side Channels Autonomous Vehicle Localization
• 365 SAVIOR: Securing Autonomous Vehicles with Robust Physical Invariants Autonomous Vehicle
• 432 Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols Vehicle
• 552 SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Adversarial Examples Autonomous Vehicle Object detection Camera Projector
• 578 Too Good to Be Safe: Tricking Lane Detection in Autonomous Driving with Crafted Perturbations Autonomous Vehicle Adversarial Examples Lane detection Camera
• 676 SAID: State-aware Defense Against Injection Attacks on In-vehicle Network Vehicle
• 701 Towards Automatically Reverse Engineering Vehicle Diagnostic Protocols Vehicle
• 702 Rolling Colors: Adversarial Laser Exploits against Traffic Light Recognition Autonomous Vehicle Traffic light detection LGSVL Apollo Physical-World
• 747 Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles Autonomous Vehicle MSF Camera LiDAR LGSVL Apollo
• 880 Phantom of the ADAS: Securing Advanced Driver-Assistance Systems from Split-Second Phantom Attacks Autonomous Vehicle Camera Tesla Mobileye
• 1016 I Can See the Light: Attacks on Autonomous Vehicles Using Invisible Lights Autonomous Vehicle Object detection Traffic light detection Localization IR lights Camera Tesla SLAM
• 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
• 1522 Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Autonomous Vehicle MSF Camera LiDAR Physical-World Apollo LGSVL
• 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
• 1726 NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Autonomous Vehicle manualSet Object detection YOLO Physical-World
• 1727 Physical Adversarial Examples for Object Detectors Autonomous Vehicle Object detection manualSet YOLO YOLOv2 Faster-RCNN
• 1728 ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Autonomous Vehicle Object detection manualSet Faster R-CNN Physical-World Camera
• 1729 Seeing isn't Believing: Towards More Robust Adversarial Attack Against Real World Object Detectors Autonomous Vehicle Object detection manualSet YOLO YOLOv3 Faster R-CNN
• 1730 MeshAdv: Adversarial Meshes for Visual Recognition Autonomous Vehicle Object detection manualSet DenseNet Inception-v3 YOLOv3 3D meshes Adversarial mesh
• 1731 CAMOU: Learning A Vehicle Camouflage For Physical Adversarial Attack On Object Detections In The Wild Autonomous Vehicle Object detection manualSet Camera Mask R-CNN YOLO Unreal Engine
• 1732 GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems Autonomous Vehicle Object detection manualSet Projector Camera
• 1733 AVGuardian: Detecting and Mitigating Publish-Subscribe Overprivilege for Autonomous Vehicle Systems Autonomous Vehicle Object detection Camera LiDAR Chassis ROS Apollo
• 1734 Universal Physical Camouflage Attacks on Object Detectors Autonomous Vehicle Object detection manualSet Camera Physical-World
• 1735 Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors Autonomous Vehicle Object detection manualSet YOLOv2 YOLOv3 YOLO Faster R-CNN Physical-World Camera
• 1736 Adversarial T-shirt! Evading Person Detectors in A Physical World Autonomous Vehicle Object detection manualSet Physical-World YOLOv2 Faster R-CNN Camera
• 1737 CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection Autonomous Vehicle Object detection manualSet YOLOv3 Mask-RCNN Grad-CAM Camera
• 1738 SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Autonomous Vehicle Object detection manualSet EndToEnd driving YOLOv3 YOLO CARLA CARLA driving simulator wWather setting Sim4CV
• 1739 They See Me Rollin’: Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors Autonomous Vehicle Object detection manualSet CMOS Camera Laser BDD100K VIRAT SSD Faster R-CNN
• 1740 Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples Autonomous Vehicle Object detection manualSet YOLO YOLOv3 RetinaNet-ResNet-50 SSD
• 1741 The Translucent Patch: A Physical and Universal Attack on Object Detectors Autonomous Vehicle Object detection manualSet Camera Physical-World YOLO YOLOv4 Faster R-CNN BDD MTSD C930
• 1742 Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Autonomous Vehicle Object detection manualSet CARLA User study YOLOv5 SSD Faster R-CNN Mask-RCNN
• 1743 Fooling thermal infrared pedestrian detectors in real world using small bulbs Autonomous Vehicle Object detection manualSet Thermal infrared detection systems YOLOv3 FLIR ADAS Physical-World
• 1744 Indirect Local Attacks for Context-aware Semantic Segmentation Networks Autonomous Vehicle Semantic segmentation manualSet FCN PSPNet PSANet DANet DRN Cityscapes Pascal VOC
• 1745 Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks Autonomous Vehicle Semantic segmentation manualSet CARLA Cityscapes dataset DDRNet BiSeNet ICNet PSPNet
• 1746 ML-driven Malware that Targets AV Safety Autonomous Vehicle Object tracking manualSet LGSVL Apollo Camera LiDAR GPS
• 1747 Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking Autonomous Vehicle Object tracking manualSet YOLOv3
• 1748 Towards Universal Physical Attacks on Single Object Tracking Autonomous Vehicle Object tracking manualSet
• 1749 A Unified Multi-Scenario Attacking Network for Visual Object Tracking Autonomous Vehicle Object tracking manualSet OTB100 UAV123 GOT10K DiMP SiamRPN
• 1750 Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack Autonomous Vehicle Lane detection manualSet ALC Camera User study OpenPilot LGSVL Physical-World
• 1751 Fooling Perception via Location: A Case of Region-of-Interest Attacks on Traffic Light Detection in Autonomous Driving Autonomous Vehicle Traffic light detection manualSet GPS spoofing GPS LGSVL Apollo Traffic light recognition MSF Level 2
• 1752 Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving Autonomous Vehicle Object detection LiDAR manualSet Spoofing LiDAR Spoofing VLP-16 Apollo
• 1753 Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures Autonomous Vehicle Object detection LiDAR manualSet VLP-16 Apollo CARLO MV3D-PointPillars MVF-PointPillars
• 1754 Physically Realizable Adversarial Examples for LiDAR Object Detection Autonomous Vehicle Object detection LiDAR manualSet KITTI dataset PIXOR PointRCNN PointPillar HDL-64E Adversarial object
• 1755 Robust Roadside Physical Adversarial Attack Against Deep Learning in Lidar Perception Modules Autonomous Vehicle Object detection LiDAR manualSet Apollo LGSVL
• 1756 Object Removal Attacks on LiDAR-based 3D Object Detectors Autonomous Vehicle Object detection LiDAR manualSet KITTI Point-GNN PointRCNN
• 1757 Fooling LiDAR Perception via Adversarial Trajectory Perturbation Autonomous Vehicle Object detection LiDAR manualSet PointRCNN PointPillar++ nuScenes
• 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
• 1759 Robust Adversarial Objects against Deep Learning Models Autonomous Vehicle Semantic segmentation LiDAR manualSet Adversarial object ModelNet40 PointNet++ SSG-1024 SSG-2048
• 1760 Who is in Control? Practical Physical Layer Attack and Defense for mmWave based Sensing in Autonomous Vehicles Autonomous Vehicle RADAR Object detection manualSet mmWave SDR Lincoln MKZ Physical-Worldm Apollo
• 1761 Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving Autonomous Vehicle MSF manualSet KITTI XENITH LiDAR Camera
• 1762 Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing Autonomous Vehicle Localization manualSet GPS GPS Spoofing Spoofing MSF Apollo LGSVL
• 1763 Trojaning Attack on Neural Networks Autonomous Vehicle manualSet EndToEnd driving Udacity
• 1764 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Autonomous Vehicle manualSet EndToEnd driving NVIDIA Dave-2 Udacity Cg23 Udacity Rambo
• 1765 Attacking Vision-based Perception in End-to-End Autonomous Driving Models Autonomous Vehicle EndToEnd driving manualSet CARLA
• 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
• 1767 Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches Autonomous Vehicle manualSet Depth Estimation Physical-World Monocular Depth Estimation Camera Module-level
• 1768 PASS: A System-Driven Evaluation Platform for Autonomous Driving Safety and Security Autonomous Vehicle manualSet System-level LGSVL Short paper
• 1816 DriveFuzz: Discovering Autonomous Driving Bugs through Driving Quality-Guided Fuzzing Autonomous Vehicle fuzzing CARLA Planning Autoware
• 1986 Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers Autonomous Vehicle manualSet LiDAR PointNet PointNet++ Adversarial example 3D LiDAR
• 1987 Self-Robust 3D Point Recognition via Gather-Vector Guidance Autonomous Vehicle manualSet LiDAR Adversarial attack 3D Object detection
• 1988 PointCloud Saliency Maps Autonomous Vehicle manualSet LiDAR Point Dropping Object detection 3D PointNet PointNet++ DGCNN
• 1989 Isometric 3D Adversarial Examples in the Physical World Autonomous Vehicle 3D PointNet PointNet++ DGCNN Physical-World 3D-scanner
• 1990 PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection Autonomous Vehicle LiDAR PV-RCNN
• 1992 Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving Autonomous Vehicle Reinforcement learning
• 1993 Adversarial Attack on Radar-based Environment Perception Systems Autonomous Vehicle Radar UWB
• 1994 Spatial-Temporal Anomaly Detection for Sensor Attacks in Autonomous Vehicles Autonomous Vehicle LiDAR
• 2087 Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks Autonomous Vehicle LiDAR LGSVL PointPillars PointRCNN PV-RCNN