| Backdoor Defense via Adaptively Splitting Poisoned Dataset K Gao, Y Bai, J Gu, Y Yang, ST Xia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 29 | 2023 |
| Hardly perceptible trojan attack against neural networks with bit flips J Bai, K Gao, D Gong, ST Xia, Z Li, W Liu European Conference on Computer Vision (ECCV), 2022 | 22 | 2022 |
| Imperceptible and Robust Backdoor Attack in 3D Point Cloud K Gao, J Bai, B Wu, M Ya, ST Xia IEEE Transactions on Information Forensics and Security (TIFS), 2022 | 19* | 2022 |
| Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning K Gao, J Bai, B Chen, D Wu, ST Xia British Machine Vision Conference (BMVC), 2021 | 8* | 2021 |
| Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images K Gao, Y Bai, J Gu, ST Xia, P Torr, Z Li, W Liu International Conference on Learning Representations (ICLR), 2024 | 6 | 2024 |
| BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP J Bai, K Gao, S Min, ST Xia, Z Li, W Liu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 5 | 2024 |
| Practical protection against video data leakage via universal adversarial head J Bai, B Chen, K Gao, X Wang, ST Xia Pattern Recognition, 2022 | 3 | 2022 |
| Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers S Yang, J Bai, K Gao, Y Yang, Y Li, S Xia IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 2 | 2024 |
| Adversarial Robustness for Visual Grounding of Multimodal Large Language Models K Gao, Y Bai, J Bai, Y Yang, ST Xia ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024 | 1 | 2024 |
| Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples K Gao, J Gu, Y Bai, ST Xia, P Torr, W Liu, Z Li arXiv preprint arXiv:2404.16557, 2024 | 1 | 2024 |
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
