Zihan Wang

About Me

I’m a Ph.D. student at the School of Electrical Engineering and Computer Science, the University of Queensland, mentored by 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.

Research Interests

Machine Learning: usage control, access control, model compression.
Privacy Compliance and Enforcement: purpose limitation, right to be forgotten.

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] 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.

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 (Oakland 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)},
  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}
}