| AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning Z Zhou, S Hu, M Li, H Zhang, Y Zhang, H Jin ACM MM 2023, 2023 | 54 | 2023 |
| Badhash: Invisible backdoor attacks against deep hashing with clean label S Hu, Z Zhou, Y Zhang, LY Zhang, Y Zheng, Y He, H Jin ACM MM 2022, 678-686, 2022 | 40 | 2022 |
| Downstream-agnostic Adversarial Examples Z Zhou, S Hu, R Zhao, Q Wang, LY Zhang, J Hou, H Jin ICCV 2023, 2023 | 23 | 2023 |
| Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving H Zhang, S Hu, Y Wang, LY Zhang, Z Zhou, X Wang, Y Zhang, C Chen IJCAI 2024, 2024 | 10* | 2024 |
| Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Z Zhou, M Li, W Liu, S Hu, Y Zhang, W Wan, L Xue, LY Zhang, D Yao, ... IEEE S&P 2024, 2024 | 9 | 2024 |
| Corrupting convolution-based unlearnable datasets with pixel-based image transformations M Li, X Wang, Z Yu, S Hu, Z Zhou, L Zhang, LY Zhang AAAI 2025, 2023 | 8* | 2023 |
| Transferable Adversarial Facial Images for Privacy Protection M Li, J Wang, H Zhang, Z Zhou, S Hu, X Pei ACM MM 2024, 2024 | 7 | 2024 |
| Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need X Wang, M Li, W Liu, H Zhang, S Hu, Y Zhang, Z Zhou, H Jin NeurIPS 2024, 2024 | 6 | 2024 |
| DarkSAM: Fooling Segment Anything Model to Segment Nothing Z Zhou, Y Song, M Li, S Hu, X Wang, LY Zhang, D Yao, H Jin NeurIPS 2024, 2024 | 6 | 2024 |
| ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification X Wang, S Hu, Y Zhang, Z Zhou, LY Zhang, P Xu, W Wan, H Jin ESORICS 2024, 2024 | 5 | 2024 |
| Badrobot: Jailbreaking llm-based embodied ai in the physical world H Zhang, C Zhu, X Wang, Z Zhou, S Hu, LY Zhang ICLR 2025, 2024 | 5 | 2024 |
| Badrobot: Manipulating embodied llms in the physical world H Zhang, C Zhu, X Wang, Z Zhou, C Yin, M Li, L Xue, Y Wang, S Hu, A Liu, ... arXiv preprint arXiv:2407.20242, 2024 | 4 | 2024 |
| NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors Z Zhou, B Li, Y Song, S Hu, W Wan, LY Zhang, D Yao, H Jin AAAI 2025, 2025 | 2 | 2025 |
| Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature Y Wang, Y Chou, Z Zhou, H Zhang, W Wan, S Hu, M Li AAAI 2025, 2024 | 2 | 2024 |
| PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Y Song, Z Zhou, M Li, X Wang, M Deng, W Wan, S Hu, LY Zhang ICASSP 2025, 2024 | 2 | 2024 |
| TrojanRobot: Backdoor Attacks Against Robotic Manipulation in the Physical World X Wang, H Pan, H Zhang, M Li, S Hu, Z Zhou, L Xue, P Guo, Y Wang, ... arXiv e-prints, arXiv: 2411.11683, 2024 | 2 | 2024 |
| TrojanRobot: Physical-World Backdoor Attacks Against VLM-based Robotic Manipulation X Wang, H Pan, H Zhang, M Li, S Hu, Z Zhou, L Xue, P Guo, Y Wang, ... arXiv preprint arXiv:2411.11683, 2024 | | 2024 |
| Enhancing Generalization Robustness of Federated Learning in Highly Heterogeneous Environments W Wan, S Hu, J Lu, M Li, Z Zhou, H Jin SCIENTIA SINICA Informationis 54 (3), 566–581, 2024 | | 2024 |
| Detecting and Corrupting Convolution-based Unlearnable Examples M Li, X Wang, Z Yu, S Hu, Z Zhou, L Zhang, LY Zhang arXiv e-prints, arXiv: 2311.18403, 2023 | | 2023 |
Shengshan HuSchool of CSE, Huazhong University of Science and Technology (HUST)在 hust.edu.cn 的電子郵件地址已通過驗證