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AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments.

, , , , , , , and . IV, page 1333-1339. IEEE, (2022)

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AVMaestro: A Centralized Policy Enforcement Framework for Safe Autonomous-driving Environments., , , , , , , and . IV, page 1333-1339. IEEE, (2022)Poster: Towards Large-Scale Measurement Study on LiDAR Spoofing Attacks against Object Detection., , , , , and . CCS, page 3459-3461. ACM, (2022)Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack., , , , , and . USENIX Security Symposium, page 3309-3326. USENIX Association, (2021)QoE Inference Without Application Control., , , , and . Internet-QoE@SIGCOMM, page 19-24. ACM, (2016)On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles., , , , and . CVPR, page 15138-15147. IEEE, (2022)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)Protecting Reward Function of Reinforcement Learning via Minimal and Non-catastrophic Adversarial Trajectory., , , , , , , , and . SRDS, page 299-309. IEEE, (2021)Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization., , , , , , and . ACSAC, page 56-70. ACM, (2022)Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking., , , , , and . CoRR, (2019)Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack., , , , , and . CoRR, (2020)