| Normalized Loss Functions for Deep Learning with Noisy Labels X Ma, H Huang, Y Wang, S Romano, S Erfani, J Bailey International Conference on Machine Learning (ICML), 2020 | 529 | 2020 |
| Unlearnable Examples: Making Personal Data Unexploitable H Huang, X Ma, SM Erfani, J Bailey, Y Wang International Conference on Learning Representations (ICLR), 2021 | 208 | 2021 |
| Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks H Huang, Y Wang, SM Erfani, Q Gu, J Bailey, X Ma Advances in Neural Information Processing Systems (NeurIPS), 2021 | 118 | 2021 |
| Distilling Cognitive Backdoor Patterns within an Image H Huang, X Ma, S Erfani, J Bailey International Conference on Learning Representations (ICLR), 2023 | 34 | 2023 |
| Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness X Ma, L Jiang, H Huang, Z Weng, J Bailey, YG Jiang Machine Learning, 2023 | 25 | 2023 |
| Backdoorllm: A comprehensive benchmark for backdoor attacks on large language models Y Li, H Huang, Y Zhao, X Ma, J Sun arXiv preprint arXiv:2408.12798, 2024 | 17 | 2024 |
| Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks Y Li, J He, H Huang, J Sun, X Ma arXiv e-prints, arXiv: 2401.15295, 2024 | 10* | 2024 |
| LDReg: Local Dimensionality Regularized Self-Supervised Learning H Huang, RJGB Campello, SM Erfani, X Ma, ME Houle, J Bailey International Conference on Learning Representations (ICLR), 2024 | 8 | 2024 |
| Neural Architecture Search via Combinatorial Multi-Armed Bandit H Huang, X Ma, SM Erfani, J Bailey International Joint Conference on Neural Networks (IJCNN), 2021 | 7 | 2021 |
| Safety at Scale: A Comprehensive Survey of Large Model Safety X Ma, Y Gao, Y Wang, R Wang, X Wang, Y Sun, Y Ding, H Xu, Y Chen, ... arXiv preprint arXiv:2502.05206, 2025 | 3 | 2025 |
| Expose before you defend: Unifying and enhancing backdoor defenses via exposed models Y Li, H Huang, J Zhang, X Ma, YG Jiang arXiv preprint arXiv:2410.19427, 2024 | 3 | 2024 |
| Detecting Backdoor Samples in Contrastive Language Image Pretraining H Huang, S Erfani, Y Li, X Ma, J Bailey International Conference on Learning Representations (ICLR), 2025 | 2 | 2025 |
| Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers W Zheng, X Ma, H Huang, Z Wu, YG Jiang arXiv preprint arXiv:2408.01705, 2024 | 1 | 2024 |
| CURVALID: Geometrically-guided Adversarial Prompt Detection C Yung, H Huang, SM Erfani, C Leckie arXiv preprint arXiv:2503.03502, 2025 | | 2025 |
| Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Y Xie, W Zheng, H Huang, G Ye, X Ma The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 | | 2025 |
| Bayesian Estimation Approaches for Local Intrinsic Dimensionality JB Zaher Joukhadar, Hanxun Huang, Sarah M. Erfani, Ricardo J. G. B. Campello ... Similarity Search and Applications: 17th International Conference, SISAP …, 2024 | | 2024 |
Xingjun MaSchool of Computer Science, Fudan UniversityVerified email at unimelb.edu.au
