Physics-informed machine learning: A survey on problems, methods and applications Z Hao, S Liu, Y Zhang, C Ying, Y Feng, H Su, J Zhu arXiv preprint arXiv:2211.08064, 2022 | 77 | 2022 |
How Robust is Google's Bard to Adversarial Image Attacks? Y Dong, H Chen, J Chen, Z Fang, X Yang, Y Zhang, Y Tian, H Su, J Zhu arXiv preprint arXiv:2309.11751, 2023 | 36 | 2023 |
Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving Z Zhu, Y Zhang, H Chen, Y Dong, S Zhao, W Ding, J Zhong, S Zheng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
Rethinking model ensemble in transfer-based adversarial attacks H Chen, Y Zhang, Y Dong, X Yang, H Su, J Zhu International Conference on Learning Representations (ICLR), 2024 | 19 | 2024 |
Pinnacle: A comprehensive benchmark of physics-informed neural networks for solving pdes Z Hao, J Yao, C Su, H Su, Z Wang, F Lu, Z Xia, Y Zhang, S Liu, L Lu, J Zhu arXiv preprint arXiv:2306.08827, 2023 | 10 | 2023 |
Unrestricted adversarial attacks on imagenet competition Y Chen, X Mao, Y He, H Xue, C Li, Y Dong, QA Fu, X Yang, W Xiang, ... arXiv preprint arXiv:2110.09903, 2021 | 8 | 2021 |
To make yourself invisible with Adversarial Semantic Contours Y Zhang, Z Zhu, H Su, J Zhu, S Zheng, Y He, H Xue Computer Vision and Image Understanding 230, 103659, 2023 | 6* | 2023 |
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models Y Zhang, Y Dong, S Zhang, T Min, H Su, J Zhu arXiv preprint arXiv:2404.11207, 2024 | | 2024 |