Skip to content
View HanxunH's full-sized avatar
💭
I may be slow to respond.
💭
I may be slow to respond.
  • The University of Melbourne
  • Melbourne / Beijing
  • 14:45 (UTC +11:00)

Highlights

  • Pro

Block or report HanxunH

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
HanxunH/README.md

Hi there, I am Hanxun Huang 👋

I am a Postdoctoral Research Fellow at the School of Computing and Information Systems, The University of Melbourne. I earned my Ph.D. degree from The University of Melbourne, where I also completed my Master’s degree. Prior to that, I earned my Bachelor’s degree from Purdue University.

🔭 My research mainly focus on:

  • Adversarial Machine Learning
  • Robust Machine Learning
  • Trustworthy ML

Contact me 📧

Cheers 🍻

Pinned Loading

  1. Detect-CLIP-Backdoor-Samples Detect-CLIP-Backdoor-Samples Public

    [ICLR2025] Detecting Backdoor Samples in Contrastive Language Image Pretraining

    Jupyter Notebook 7 2

  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 163 18

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

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

    Python 136 28