Hanxun Huang

According to our database, Hanxun Huang authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Imbalanced gradients: a subtle cause of overestimated adversarial robustness.

Xingjun Ma, Linxi Jiang, Hanxun Huang, Zejia Weng, James Bailey, Yu-Gang Jiang

Mach. Learn., May, 2024

Robust and Trustworthy Machine Learning.

Hanxun Huang

PhD thesis, 2024

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models.

Yige Li, Hanxun Huang, Jiaming Zhang, Xingjun Ma, Yu-Gang Jiang

CoRR, 2024

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models.

Yige Li, Hanxun Huang, Yunhan Zhao, Xingjun Ma, Jun Sun

CoRR, 2024

Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers.

Weijie Zheng, Xingjun Ma, Hanxun Huang, Zuxuan Wu, Yu-Gang Jiang

CoRR, 2024

Multi-Trigger Backdoor Attacks: More Triggers, More Threats.

Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang

CoRR, 2024

Bayesian Estimation Approaches for Local Intrinsic Dimensionality.

Zaher Joukhadar, Hanxun Huang, Sarah Monazam Erfani, Ricardo J. G. B. Campello, Michael E. Houle, James Bailey

Proceedings of the Similarity Search and Applications - 17th International Conference, 2024

LDReg: Local Dimensionality Regularized Self-Supervised Learning.

Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Distilling Cognitive Backdoor Patterns within an Image.

Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks.

Hanxun Huang, Yisen Wang, Sarah M. Erfani, Quanquan Gu, James Bailey, Xingjun Ma

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neural Architecture Search via Combinatorial Multi-Armed Bandit.

Hanxun Huang, Xingjun Ma, Sarah M. Erfani, James Bailey

Proceedings of the International Joint Conference on Neural Networks, 2021

Unlearnable Examples: Making Personal Data Unexploitable.

Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Normalized Loss Functions for Deep Learning with Noisy Labels.

Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah M. Erfani, James Bailey

Proceedings of the 37th International Conference on Machine Learning, 2020