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Ziming Hong


Ph.D. Student

Sydney AI Centre

School of Computer Science

The University of Sydney


Address: J12/1 Cleveland St, Darlington, NSW 2008, Australia

Email: hoongzm@gmail.com; ziming.hong@sydney.edu.au

[Google Scholar]

Short Bio

I am currently a second-year Ph.D. candidate in the School of Computer Science at The University of Sydney, supervised by Prof. Tongliang Liu. I obtained my master's degree from the School of Electronic Information and Communications, Huazhong University of Science and Technology and my bachelor's degree from the School of Information Engineering, Wuhan University of Technology. 


My research focuses on Trustworthy AI, with a particular emphasis on Intellectual Property (IP) protection:

👉 Data-centric IP protection: (1) Active protection for 3D Gaussian Splatting (3DGS) assets against editing [Preprint].

👉 IP protection for AI models via non-transferable learning (NTL): (1) Benchmark for NTL [IJCAI 2025 (Survey Track)]; (2) NTL vs data-free knowledge distillation [ICML 2025]; (3) Black-box robustness of NTL models [CVPR 2025]; (4) White-box robustness analysis of NTL [CVPR 2024 (Highlight)]; (5) Causal-inspired NTL method [ICLR 2024 (Spotlight)].

Selected Publications

(*Equal contribution; †Corresponding author)

  • When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need.

Z. Hong, R. Chen, Z. Wang†, B. Han, B. Du, T. Liu†.

In ICML, 2025. 

  • Toward Robust Non-Transferable Learning: A Survey and Benchmark.

Z. Hong*, Y. Xiang*, T. Liu†.

In IJCAI, 2025. (Survey Track)

  • Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising.

Y. Xiang, Z. Hong†, L. Yao, D. Wang, T. Liu†.

In CVPR, 2025.

  • Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning.

Z. Hong, L. Shen, T. Liu†.

In CVPR, 2024. (Highlight)

  • Improving Non-Transferable Representation Learning by Harnessing Content and Style.

Z. Hong, Z. Wang, L. Shen, Y. Yao, Z. Huang, S. Chen, C. Yang, M. Gong, T. Liu†.

In ICLR, 2024. (Spotlight)

  • Semantic Compression Embedding for Generative Zero-Shot Learning.

Z. Hong*, S. Chen*†, G. Xie, W. Yang, J. Zhao, Y. Shao, Q. Peng, X. You†.

In IJCAI, 2022.

Academic Services

  • Conference Reviewer: 

ICLR, NeurIPS, ICML, CVPR, ICCV, ECCV, AAAI, IJCAI, ACM MM, UAI, ACML, PRCV

  • Journal Reviewer: 

IJCV, TIP, TNNLS, TCSVT, TKDD, KBS, EAAI, PR, NN, Neurocomputing

Teaching

  • Teaching Assistant: COMP5328 Advanced Machine Learning, Semester 2, 2025 (The University of Sydney).

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