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:
- Trustworthy ML
- AI Safety
- Generative AI
- 🎓 Google Scholar
- 📧 Email: hanxun AT unimelb dot edu dot au
News
| Sep 21, 2025 | Our work on Benchmark for Backdoor Attacks and Defenses on LLMs is accepted by NeurIPS’25. |
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| 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. |
| Feb 27, 2025 | Our work on million-scale adversarial robustness evalution is accepted by CVPR’25. |
| Feb 06, 2025 | Our work on backdoor sample detection in CLIP is accepted by ICLR’25. |
Professional Activities
- Program Committee Member
- ICML (2021-2025), NeurIPS (2021-2025), ICLR (2022-2026), CVPR (2024-2026), ACM MM (2025), DIG-BUG at ICML (2025), AJCAI (2024) AROW at ECCV (2022).
- Journal Reviewer
- TPAMI, JAIR, TMLR, TIST, TIFS, TIP, KAIS, TDSC, TSMC, TOPS, TCSVT, Neural networks.