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On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving.

, and . CoRR, (2021)

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Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack., , , , , and . CoRR, (2020)Video material archive system for efficient video editing based on media identification., , , , and . ICME, page 727-730. IEEE Computer Society, (2004)Towards Driving-Oriented Metric for Lane Detection Models., and . CVPR, page 17132-17141. IEEE, (2022)Visual duplicate based topic linking using a robust video signature., , , and . ICCE, page 280-283. IEEE, (2013)Revisiting LiDAR Spoofing Attack Capabilities against Object Detection: Improvements, Measurement, and New Attack., , , , , and . CoRR, (2023)Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models., , , , and . CoRR, (2023)Learning Representation for Anomaly Detection of Vehicle Trajectories., , , , , , and . IROS, page 9699-9706. (2023)Demo: Security of Camera-based Perception for Autonomous Driving under Adversarial Attack., , , and . SP (Workshops), page 243. IEEE, (2021)Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack., , , , , and . SP (Workshops), page 244. IEEE, (2021)Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing., , , , , , , , , and . DAC, page 1-4. IEEE, (2023)