Viewfool: Evaluating the robustness of visual recognition to adversarial viewpoints Y Dong, S Ruan, H Su, C Kang, X Wei, J Zhu Advances in Neural Information Processing Systems 35, 36789-36803, 2022 | 31 | 2022 |
Improving viewpoint robustness for visual recognition via adversarial training S Ruan, Y Dong, H Su, J Peng, N Chen, X Wei arXiv preprint arXiv:2307.11528, 2023 | 5 | 2023 |
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World C Kang, Y Dong, Z Wang, S Ruan, H Su, X Wei arXiv preprint arXiv:2306.09124, 2023 | 5 | 2023 |
Towards viewpoint-invariant visual recognition via adversarial training S Ruan, Y Dong, H Su, J Peng, N Chen, X Wei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 4 | 2023 |
Distributional Modeling for Location-Aware Adversarial Patches X Wei, S Ruan, Y Dong, H Su arXiv preprint arXiv:2306.16131, 2023 | 1 | 2023 |
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models S Ruan, Y Dong, H Liu, Y Huang, H Su, X Wei arXiv preprint arXiv:2404.12139, 2024 | | 2024 |
Towards Transferable Targeted 3D Adversarial Attack in the Physical World Y Huang, Y Dong, S Ruan, X Yang, H Su, X Wei arXiv preprint arXiv:2312.09558, 2023 | | 2023 |