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AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles (CVPR 21)
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Fooling LiDAR Perception via Adversarial Trajectory Perturbation (ICCV 21)
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Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather (ICCV 21)
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Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks (S&P 21)
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Can We Use Arbitrary Objects to Attack LiDAR Perception in Autonomous Driving? (CCS 21)
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Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving (CoRL 21)
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Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection (arXiv 21)
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3D-VField: Learning to Adversarially Deform Point Clouds for Robust 3D Object Detection (arXiv 21)
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Physically Realizable Adversarial Examples for LiDAR Object Detection (CVPR 20)
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Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather (CVPR 20)
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Learning an Uncertainty-Aware Object Detector for Autonomous Driving (IROS 20)
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Inferring Spatial Uncertainty in Object Detection (IROS 20)
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Towards Better Performance and More Explainable Uncertainty for 3D Object Detection of Autonomous Vehicles (ITSC 20)
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Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures (USENIX Security 20)
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Robustness of 3D Deep Learning in an Adversarial Setting (CVPR 19)
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Identifying Unknown Instances for Autonomous Driving (CoRL 19)
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Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection (IV 19)
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LiDAR Data Integrity Verification for Autonomous Vehicle (IEEE Access 19)
- Towards Safe Autonomous Driving: Capture Uncertainty in the Deep Neural Network For Lidar 3D Vehicle Detection (ITSC 18)