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Hi there, I am Hanxun Huang (Curtis) 👋

I am a research fellow at the School of Computing and Information Systems, The University of Melbourne. I completed my Ph.D. at the University of Melbourne, supervised by Prof. James Bailey, Dr. Xingjun Ma and Dr.Sarah Erfani. Prior to my PhD, I completed my Master’s at The University of Melbourne and Bachelor’s study at Purdue University.

🔭 My research mainly focus on:

  • Adversarial Attacks and Defenses
  • Robust Machine Learning
  • Trustworthy ML

Contact me 📧

Cheers 🍻

Hanxun Huang's Projects

ldreg icon ldreg

[ICLR2024] LDReg: Local Dimensionality Regularized Self-Supervised Learning

mdattack icon mdattack

[Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness

robustwrn icon robustwrn

[NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks

sceloss-reproduce icon sceloss-reproduce

Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

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