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2020 – today
- 2025
[i14]Hanxun Huang, Sarah M. Erfani, Yige Li, Xingjun Ma, James Bailey:
Detecting Backdoor Samples in Contrastive Language Image Pretraining. CoRR abs/2502.01385 (2025)- [i13]Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang:
Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR abs/2502.05206 (2025) - [i12]Canaan Yung, Hanxun Huang, Sarah Monazam Erfani, Christopher Leckie:
CURVALID: Geometrically-guided Adversarial Prompt Detection. CoRR abs/2503.03502 (2025) - 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 - [i11]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) - [i10]Yige Li, Xingjun Ma, Jiabo He, Hanxun Huang, Yu-Gang Jiang:
Multi-Trigger Backdoor Attacks: More Triggers, More Threats. CoRR abs/2401.15295 (2024) - [i9]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) - [i8]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) - [i7]Yige Li, Hanxun Huang, Jiaming Zhang, Xingjun Ma, Yu-Gang Jiang:
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models. CoRR abs/2410.19427 (2024) - [i6]Yong Xie, Weijie Zheng, Hanxun Huang, Guangnan Ye, Xingjun Ma:
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks. CoRR abs/2411.15210 (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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