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Adversarial Objects Against LiDAR-Based Autonomous Driving Systems., , , , , , and . CoRR, (2019)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)RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios., , , , and . CoRR, (2023)WIPI: A New Web Threat for LLM-Driven Web Agents., , , and . CoRR, (2024)Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving., , , , , , , , and . CoRR, (2019)Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles., , , , and . USENIX Security Symposium, page 1903-1920. USENIX Association, (2022)On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks., , , , and . BMVC, page 145. BMVA Press, (2021)A prior knowledge-driven reference signal extraction network towards measured data in DRM-based passive radar., , , and . Digit. Signal Process., (July 2023)FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications., , , , , , , and . ACM Trans. Embed. Comput. Syst., 22 (6): 91:1-91:30 (November 2023)