| Geometry-aware instance-reweighted adversarial training J Zhang, J Zhu, G Niu, B Han, M Sugiyama, M Kankanhalli arXiv preprint arXiv:2010.01736, 2020 | 316 | 2020 |
| DeepInception: Hypnotize Large Language Model to Be Jailbreaker X Li, Z Zhou, J Zhu, J Yao, T Liu, B Han arXiv preprint arXiv:2311.03191, 2023 | 145 | 2023 |
| Reliable adversarial distillation with unreliable teachers J Zhu, J Yao, B Han, J Zhang, T Liu, G Niu, J Zhou, J Xu, H Yang arXiv preprint arXiv:2106.04928, 2021 | 75 | 2021 |
| Understanding the interaction of adversarial training with noisy labels J Zhu, J Zhang, B Han, T Liu, G Niu, H Yang, M Kankanhalli, M Sugiyama arXiv preprint arXiv:2102.03482, 2021 | 31 | 2021 |
| Diversified outlier exposure for out-of-distribution detection via informative extrapolation J Zhu, Y Geng, J Yao, T Liu, G Niu, M Sugiyama, B Han Advances in Neural Information Processing Systems 36, 22702-22734, 2023 | 24 | 2023 |
| Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability J Zhu, H Li, J Yao, T Liu, J Xu, B Han arXiv preprint arXiv:2306.03715, 2023 | 13 | 2023 |
| Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks J Zhou, J Zhu, J Zhang, T Liu, G Niu, B Han, M Sugiyama Advances in Neural Information Processing Systems 35, 23621-23633, 2022 | 11 | 2022 |
| Combating Exacerbated Heterogeneity for Robust Models in Federated Learning J Zhu, J Yao, T Liu, Q Yao, J Xu, B Han arXiv preprint arXiv:2303.00250, 2023 | 9 | 2023 |
| Unlearning with Control: Assessing Real-world Utility for Large Language Model Unlearning Q Wang, B Han, P Yang, J Zhu, T Liu, M Sugiyama arXiv preprint arXiv:2406.09179, 2024 | 6 | 2024 |
| Decoupling the Class Label and the Target Concept in Machine Unlearning J Zhu, B Han, J Yao, J Xu, G Niu, M Sugiyama arXiv preprint arXiv:2406.08288, 2024 | 4 | 2024 |
| Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? Z Zhou, R Tao, J Zhu, Y Luo, Z Wang, B Han Advances in Neural Information Processing Systems 37, 123846-123910, 2025 | 3 | 2025 |
| Model Inversion Attacks: A Survey of Approaches and Countermeasures Z Zhou, J Zhu, F Yu, X Li, X Peng, T Liu, B Han arXiv preprint arXiv:2411.10023, 2024 | 1 | 2024 |
| Can Large Language Models Reason Robustly with Noisy Rationales? Z Zhou, R Tao, J Zhu, Y Luo, Z Wang, B Han ICLR 2024 Workshop on Reliable and Responsible Foundation Models, 2024 | 1 | 2024 |
| Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection G Yu, J Zhu, J Yao, B Han Advances in Neural Information Processing Systems 37, 56322-56348, 2025 | | 2025 |
| What If the Input is Expanded in OOD Detection? B Zhang, J Zhu, Z Wang, T Liu, B Du, B Han Advances in Neural Information Processing Systems 37, 21289-21329, 2025 | | 2025 |
| Exploring model dynamics for accumulative poisoning discovery J Zhu, X Guo, J Yao, C Du, L He, S Yuan, T Liu, L Wang, B Han International Conference on Machine Learning, 42983-43004, 2023 | | 2023 |
Bo HanHKBU / RIKENПідтверджена електронна адреса в comp.hkbu.edu.hk