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Language-Guided Traffic Simulation via Scene-Level Diffusion.

, , , , , , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 144-177. PMLR, (2023)

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Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures., , , and . USENIX Security Symposium, page 877-894. USENIX Association, (2020)ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency., , , and . BMVC, page 486-496. BMVA Press, (2023)Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks., , , , , , , , and . SP, page 176-194. IEEE, (2021)Adversarial Attacks on Adaptive Cruise Control Systems., , , , and . CPS-IoT Week Workshops, page 49-54. ACM, (2023)On the Adversarial Robustness of 3D Point Cloud Classification., , , , and . CoRR, (2020)Average effective subcarrier-domain sparse representation approach for target information estimation in CP-OFDM-based passive bistatic radar., , , and . EURASIP J. Adv. Signal Process., 2024 (1): 9 (December 2024)You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks., , , , , and . USENIX Security Symposium, page 2993-3010. USENIX Association, (2023)Client-side Name Collision Vulnerability in the New gTLD Era: A Systematic Study., , , , , and . CCS, page 941-956. ACM, (2017)Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions., , , , , , and . NeurIPS, page 15498-15512. (2021)Robust Trajectory Prediction against Adversarial Attacks., , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 128-137. PMLR, (2022)