| Improving Adversarial Robustness via Channel-wise Activation Suppressing Y Bai, Y Zeng, Y Jiang, ST Xia, X Ma, Y Wang The International Conference on Learning Representations (ICLR), 2021, 2021 | 111 | 2021 |
| Improving Query Efficiency of Black-box Adversarial Attack Y Bai, Y Zeng, Y Jiang, Y Wang, ST Xia, W Guo European Conference on Computer Vision (ECCV), 2020, 2020 | 57 | 2020 |
| Hilbert-based Generative Defense for Adversarial Examples Y Bai, Y Feng, Y Wang, T Dai, ST Xia, Y Jiang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 52 | 2019 |
| Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection Y Li, Y Bai, Y Jiang, Y Yang, ST Xia, B Li Advances in Neural Information Processing Systems 35, 13238-13250, 2022 | 51 | 2022 |
| Query efficient black-box adversarial attack on deep neural networks Y Bai, Y Wang, Y Zeng, Y Jiang, ST Xia Pattern Recognition 133, 109037, 2023 | 34 | 2023 |
| BackdoorBox: A python toolbox for backdoor learning Y Li, M Ya, Y Bai, Y Jiang, ST Xia ICLR 2023 Workshop on Backdoor Attacks and Defenses in Machine Learning, 2023 | 27 | 2023 |
| Backdoor Defense via Adaptively Splitting Poisoned Dataset K Gao, Y Bai, J Gu, Y Yang, ST Xia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 26 | 2023 |
| Watermark vaccine: Adversarial attacks to prevent watermark removal X Liu, J Liu, Y Bai, J Gu, T Chen, X Jia, X Cao European Conference on Computer Vision, 1-17, 2022 | 21 | 2022 |
| Clustering Effect of (Linearized) Adversarial Robust Models Y Bai, X Yan, Y Jiang, ST Xia, Y Wang Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021, 2021 | 15* | 2021 |
| MOVE: Effective and Harmless Ownership Verification via Embedded External Features Y Li, L Zhu, X Jia, Y Bai, Y Jiang, ST Xia, X Cao arXiv preprint arXiv:2208.02820, 2022 | 7 | 2022 |
| 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 The International Conference on Learning Representations (ICLR), 2024, 2024 | 5 | 2024 |
| OT-Attack: Enhancing Adversarial Transferability of Vision-Language Models via Optimal Transport Optimization D Han, X Jia, Y Bai, J Gu, Y Liu, X Cao arXiv preprint arXiv:2312.04403, 2023 | 3 | 2023 |
| Test-time Adaptation of Residual Blocks against Poisoning and Backdoor Attacks A Gudibande, X Chen, Y Bai, J Xiong, D Song CVPR Workshop, 2022, 2022 | 3 | 2022 |
| D2Defend: Dual-Domain based Defense against Adversarial Examples X Yan, Y Li, T Dai, Y Bai, ST Xia 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| 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 |
| 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 |
| Self-adaptive Feature Fool X Liu, Y Bai, ST Xia, Y Jiang ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 1 | 2020 |
| Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models Y Bai, G Pei, J Gu, Y Yang, X Ma arXiv preprint arXiv:2405.05990, 2024 | | 2024 |
| Distributed Adaptive Optimization with Divisible Communication A Xu, Y Bai Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
| Cross Model Parallelism for Faster Bidirectional Training of Large Convolutional Neural Networks A Xu, Y Bai Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | | 2023 |
Shu-Tao XiaSIGS, Tsinghua UniversityDirección de correo verificada de sz.tsinghua.edu.cn
