Publications | Hanxun Huang

The full list of publications can be found on Google Scholar.

LDReg: Local Dimensionality Regularized Self-Supervised Learning [Code]
Hanxun Huang, Ricardo J.G.B. Campello, Sarah Erfani, Xingjun Ma, Michael E. Houle, James Bailey
International Conference on Learning Representations (ICLR), 2024.

Distilling Cognitive Backdoor Patterns within an Image [Code]
Hanxun Huang, Xingjun Ma, Sarah Erfani, James Bailey
International Conference on Learning Representations (ICLR), 2023.

Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness [Code]
Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey, Yu-Gang Jiang
Machine Learning.

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks [Code]
Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma
Advances in Neural Information Processing Systems (NeurIPS), 2021.

Unlearnable Examples: Making Personal Data Unexploitable [Code] [Website]
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang
International Conference on Learning Representations (ICLR), 2021.

Neural Architecture Search via Combinatorial Multi-Armed Bandit
Hanxun Huang, Xingjun Ma, Sarah M Erfani, James Bailey
International Joint Conference on Neural Networks (IJCNN), 2021.

Normalized Loss Functions for Deep Learning with Noisy Labels [Code]
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey
International Conference on Machine Learning (ICML), 2021.