The paper organizes perception attacks on AVs into a new taxonomy, identifies gaps in fusion-aware defenses, and validates one cross-sensor vulnerability with a proof-of-concept simulation.
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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Simulated coordinated IR and LiDAR spoofing achieves 85.5% success deceiving MSF perception on 400 KITTI scenes by creating consistent false 3D objects.
citing papers explorer
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SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion
The paper organizes perception attacks on AVs into a new taxonomy, identifies gaps in fusion-aware defenses, and validates one cross-sensor vulnerability with a proof-of-concept simulation.
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Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles
Simulated coordinated IR and LiDAR spoofing achieves 85.5% success deceiving MSF perception on 400 KITTI scenes by creating consistent false 3D objects.