Publications | Hanxun Huang

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

Bayesian Estimation Approaches for Local Intrinsic Dimensionality
Zaher Joukhadar, Hanxun Huang, Sarah Erfani, Ricardo J.G.B. Campello, Michael E. Houle, James Bailey Similarity Search and Applications: 17th International Conference (SISAP), 2024.

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.