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I may be slow to respond.
68 followers · 37 following
  • The University of Melbourne
  • Melbourne / Beijing
  • 02:26 (UTC +11:00)

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Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

Achievements

Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: Starstruckx2Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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HanxunH/README.md

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 🍻

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  1. LDReg LDReg Public

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

    Python 9

  2. MDAttack MDAttack Public

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

    Python 17

  3. CognitiveDistillation CognitiveDistillation Public

    [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

    Python 31 2

  4. RobustWRN RobustWRN Public

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

    Python 34 1

  5. Unlearnable-Examples Unlearnable-Examples Public

    [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

    Python 151 17

  6. Active-Passive-Losses Active-Passive-Losses Public

    [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

    Python 134 28