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Q. Song

  • 3 Conference contribution
  • 1 Article
  • 1 Conference article
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  • 2024

    A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving

    Lou, Y., Zhu, Y., Song, Q., Tan, R., Qiao, C., Lee, W. B. & Wang, J., 2024, Proceedings of the 33rd USENIX Security Symposium. USENIX Association, p. 6291-6308 18 p. (Proceedings of the 33rd USENIX Security Symposium).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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  • 2023

    Towards Efficient Personalized Driver Behavior Modeling with Machine Unlearning

    Song, Q., Tan, R. & Wang, J., 2023, Proceedings of 2023 Cyber-Physical Systems and Internet-of-Things Week, CPS-IoT Week 2023 - Workshops. ACM, p. 31-36 6 p. (ACM International Conference Proceeding Series).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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  • Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving

    Lou, Y., Song, Q., Xu, Q., Tan, R. & Wang, J., 2023, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Gal, K., Nowe, A., Nalepa, G. J., Fairstein, R. & Radulescu, R. (eds.). IOS Press, p. 1593-1600 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

    Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

    Open Access
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    77 Downloads (Pure)