Hanxun Huang
I am a Postdoctoral Research Fellow at the University of Melbourne, where I completed both my Ph.D. and Master’s degrees. Prior to that, I earned my Bachelor’s degree from Purdue University. My research focuses on Trustworthy AI and AI Safety, with an emphasis on developing secure and robust models for reliable, real-world AI applications.
🔭 My research mainly focus on:
- Trustworthy ML
- AI Safety
- Generative AI
- 🎓 Google Scholar
- 📧 Email: hanxun AT unimelb dot edu dot au
News
| May 02, 2026 | 🎉 Four Papers Accepted to ICML 2026. Our work on Audio Self-Supervised Learning, Spurious Correlations in VLM, Code Agents Extracting System Prompts, and Omni-modal Sythetic Content Dataset has been accepted. Congratulations to all the authors! |
|---|---|
| Jan 27, 2026 | Our work on Universal and Transferable Jailbreak on VLMs is accepted by ICLR’26. Congrats to all the authors! |
| Sep 21, 2025 | Our work on Benchmark for Backdoor Attacks and Defenses on LLMs is accepted by NeurIPS’25. |
| Sep 16, 2025 | Our survey paper Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety has been published in Foundations and Trends® in Privacy and Security. |
| Aug 29, 2025 | Our work on multi-trigger backdoor attacks has been accepted to TDSC. |
| Aug 03, 2025 | Our work on Text-to-Unlearnable Example (T2UE) is accepted by ACM Multimedia 2025. |
| May 30, 2025 | Our BackdoorLLM Benchmark was awarded first prize in the SafeBench Competition, organized by Center for AI Safety. Congratulations to all the authors on this outstanding achievement! |
| May 15, 2025 | Our work on Super Transferable Adversarial Attack on CLIP is accepted by ICML’25. |
Professional Activities
- Program Committee Member
- ICML (2021-2026), NeurIPS (2021-2025), ICLR (2022-2026), CVPR (2024-2026), ACL (2025), ACM MM (2025), DIG-BUG at ICML (2025), AJCAI (2024) AROW at ECCV (2022).
- Journal Reviewer
- TPAMI, TMLR, TNNLS, TIP, TCSVT, TIFS, TDSC, TSMC, TIST, KAIS, JAIR, TOPS, Neural networks.