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ORCIDHanxun Huang
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2020 – today
- 2024
[b1]Hanxun Huang:
Robust and Trustworthy Machine Learning. University of Melbourne, Parkville, Victoria, Australia, 2024- [j1]Xingjun Ma, Linxi Jiang, Hanxun Huang
, Zejia Weng, James Bailey, Yu-Gang Jiang:
Imbalanced gradients: a subtle cause of overestimated adversarial robustness. Mach. Learn. 113(5): 2301-2326 (2024) - [c7]Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey:
LDReg: Local Dimensionality Regularized Self-Supervised Learning. ICLR 2024 - [c6]Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey:
Bayesian Estimation Approaches for Local Intrinsic Dimensionality. SISAP 2024: 111-125 - [i9]Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey:
LDReg: Local Dimensionality Regularized Self-Supervised Learning. CoRR abs/2401.10474 (2024) - [i8]Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang:
Multi-Trigger Backdoor Attacks: More Triggers, More Threats. CoRR abs/2401.15295 (2024) - [i7]Weijie Zheng, Xingjun Ma, Hanxun Huang, Zuxuan Wu, Yu-Gang Jiang:
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers. CoRR abs/2408.01705 (2024) - [i6]Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun:
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models. CoRR abs/2408.12798 (2024) - 2023
- [c5]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. ICLR 2023 - [i5]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Distilling Cognitive Backdoor Patterns within an Image. CoRR abs/2301.10908 (2023) - 2021
- [c4]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. ICLR 2021 - [c3]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. IJCNN 2021: 1-8 - [c2]Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. NeurIPS 2021: 5545-5559 - [i4]Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey:
Neural Architecture Search via Combinatorial Multi-Armed Bandit. CoRR abs/2101.00336 (2021) - [i3]Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang:
Unlearnable Examples: Making Personal Data Unexploitable. CoRR abs/2101.04898 (2021) - [i2]Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma:
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks. CoRR abs/2110.03825 (2021) - 2020
- [c1]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. ICML 2020: 6543-6553 - [i1]Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey:
Normalized Loss Functions for Deep Learning with Noisy Labels. CoRR abs/2006.13554 (2020)
Coauthor Index
aka: Sarah Monazam Erfani
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