Towards More Efficient and Robust Object Detection Models against Adversarial Patches for Auto-driving - RMGS

Project: Research

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Research Output

  1. 2024
  2. Online published

    Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-tuning

    Yang, X., Liu, C. & Wei, Y., 26 Sept 2024, (Online published) NeurIPS 2024: Proceedings of the 38 Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS)

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Check@CityULib
  3. Published

    Towards Efficient Training and Evaluation of Robust Models against l0 Bounded Adversarial Perturbations

    Zhong, X., Huang, Y. & Liu, C., 2024, Proceedings of the 41st International Conference on Machine Learning. ML Research Press, p. 61708-61726 (Proceedings of Machine Learning Research; vol. 235).

    Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

    Check@CityULib