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72 followers · 38 following
  • The University of Melbourne
  • Melbourne / Beijing
  • 16:45 (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. 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. Detect-CLIP-Backdoor-Samples Detect-CLIP-Backdoor-Samples Public

    [ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining

    Jupyter Notebook 5 1

  2. LDReg LDReg Public

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

    Python 10

  3. CognitiveDistillation CognitiveDistillation Public

    [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

    Python 34 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 162 17

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

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

    Python 136 28