Zihan Wang

About Me

I began my Ph.D. studies in 2023 at the School of Electrical Engineering and Computer Science, the University of Queensland, under the guidance of A/Prof. Guangdong Bai and Dr. Jason Xue. My research focuses on tackling real-world security & privacy issues of machine learning systems in a formally verifiable manner. My works have been published in leading conferences and journals, including IEEE S&P, USENIX Security, NeurIPS, WACV, and IEEE TCSS.

Research Interests

Trustworthy and Responsible AI:
- Neural Network Usage Control (IEEE S&P24)
- Purpose Limitation (USENIX Security24)
- Privacy Leakage (NeurIPS22, IEEE TCSS)
Neural Network Compression:
- Pruning (IEEE S&P24)
- Knowledge Distillation (WACV24)

News

[Mar. 2024] Our paper on neural network usage control is accepted by IEEE S&P (Oakland)’24.
[Feb. 2024] Our paper on algorithmic purpose limitation is accepted by USENIX Security’24.
[Dec. 2023] Our paper on deep data hiding is accepted by IEEE TCSS.
[Oct. 2023] Our paper on knowledge distillation is accepted by WACV’24.
[Aug. 2023] Our paper on formalizing neural network perturbation is accepted by ICFEM’23.
[Dec. 2022] I obtained my Bachelor of Comp. Sci. (Advanced) from the University of Adelaide!
[Dec. 2022] Presenting our paper at NeurIPS’22 in New Orleans, USA. [Photo]
[Sep. 2022] Our paper on multi-modal model membership inference is accepted by NeurIPS’22.

Invited Talks

[May. 2024] Neuron-level Usage Control for AI Models, SoC, National University of Singapore (NUS).

Selected Publications

S&P'24

CoreLocker: Neuron-level Usage Control

Zihan Wang, Zhongkui Ma, Xinguo Feng, Ruoxi Sun, Hu Wang, Minhui Xue, Guangdong Bai.

IEEE Symposium on Security and Privacy (S&P), Mar. 2024.

PDF Website

BibTeX

@inproceedings{wang2024corelocker,
  title={CoreLocker: Neuron-level Usage Control},
  author={Wang, Zihan and Ma, Zhongkui and Feng, Xinguo and Sun, Ruoxi and Wang, Hu and Xue, Minhui and Bai, Guangdong.},
  booktitle={IEEE Symposium on Security and Privacy (S\&P)},
  doi = {10.1109/SP54263.2024.00182},
  url = {https://doi.ieeecomputersociety.org/10.1109/SP54263.2024.00182},
  pages = {222-222},
  year={2024}
}

USENIX'24

Being Transparent is Merely the Beginning: Enforcing Purpose Limitation with Polynomial Approximation

Shuofeng Liu, Zihan Wang, Minhui Xue, Long Wang, Yuanchao Zhang, Guangdong Bai.

USENIX Security, Feb. 2024.

PDF

BibTeX

@inproceedings{liu2024purpose,
  title={Being Transparent is Merely the Beginning: Enforcing Purpose Limitation with Polynomial Approximation},
  author={Liu, Shuofeng and Wang, Zihan and Xue, Minhui and Wang, Long and Zhang, Yuanchao and Bai, Guangdong.},
  journal={USENIX Security},
  year={2024}
}

TCSS

Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography

Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue.

IEEE Transactions on Computational Social Systems (TCSS), Dec. 2023.

PDF

BibTeX

@article{wang2023data,
  title={Data hiding with deep learning: a survey unifying digital watermarking and steganography},
  author={Wang, Zihan and Byrnes, Olivia and Wang, Hu and Sun, Ruoxi and Ma, Congbo and Chen, Huaming and Wu, Qi and Xue, Minhui},
  journal={IEEE Transactions on Computational Social Systems},
  year={2023},
  publisher={IEEE}
}

WACV'23

BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation

Liyang Liu, Zihan Wang, Minh Hieu Phan, Bowen Zhang, Jinchao Ge, Yifan Liu.

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Oct. 2023.

PDF

BibTeX

@inproceedings{liu2024bpkd,
  title={BPKD: Boundary Privileged Knowledge Distillation For Semantic Segmentation},
  author={Liu, Liyang and Wang, Zihan and Phan, Minh Hieu and Zhang, Bowen and Ge, Jinchao and Liu, Yifan},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={1062--1072},
  year={2024}
}

NeurIPS'22

M⁴I: Multi-modal Models Membership Inference

Pingyi Hu*, Zihan Wang*, Ruoxi Sun, Hu Wang, Minhui Xue.

Neural Information Processing Systems (NeurIPS), Sep. 2022.

PDF

BibTeX

@inproceedings{hu2022m,
  title={M $\^{} 4$ I: Multi-modal Models Membership Inference},
  author={Hu, Pingyi and Wang, Zihan and Sun, Ruoxi and Wang, Hu and Xue, Minhui},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={1867--1882},
  year={2022}
}