Zhihuang Liu

Zhihuang Liu

National University of Defense Technology

Zhihuang Liu is a Ph.D. candidate at National University of Defense Technology (NUDT).

Research interests: Privacy Protection, Applied Cryptography, Usable Security, Large Language Models (LLMs), and Artificial Intelligence (AI) Security.

🔥 News

  • 2025.03: One paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology (CCF B, SCI, JCR Q1, 中科院一区TOP).
  • 2025.03: One paper has been accepted by IEEE Transactions on Big Data (CCF C, SCI, JCR Q1, 中科院二区).
  • 2024.12: Awarded the Ourstanding Student of NUDT.
  • 2024.12: Awarded China National Scholarship for PhD Students.
  • 2024.09: One paper has been accepted by IEEE Symposium on Security and Privacy (SP’25) (Top Computer Security Conference, CCF A).
  • 2024.08: One paper has been accepted by International Conference on Neural Information Processing (CCF C).
  • 2024.04: One paper has been accepted by IEEE Transactions on Information Forensics and Security (CCF A, SCI, JCR Q1, 中科院一区TOP).
  • 2023.12: One paper has been accepted by Future Generation Computer Systems (FGCS) (CCF C, SCI, JCR Q1, 中科院一区TOP).

📝 Selected Publications

IEEE SP'25
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Prevalence Overshadows Concerns? Understanding Chinese Users’ Privacy Awareness and Expectations Towards LLM-based Healthcare Consultation

Zhihuang Liu, Ling Hu, Tongqing Zhou, Yonghao Tang, Zhiping Cai*

The 46th IEEE Symposium on Security and Privacy (S&P25) [Paper] [Project] [Code]

  • This paper contributes the first user study (n=846) in China on privacy awareness and expectations in LLM-based healthcare consultations.
TIFS
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SeCoSe: Toward Searchable and Communicable Healthcare Service Seeking in Flexible and Secure EHR Sharing

Zhihuang Liu, Ling Hu, Zhiping Cai*, Ximeng Liu, and Yanhua Liu

IEEE Transactions on Information Forensics and Security [Paper] [Project] [Code]

  • This Paper proposes a searchable and communicable proactive healthcare service seeking scheme (SeCoSe) in a blockchain-based EHR sharing system.
TBD
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Split Learning on Segmented Healthcare Data

Ling Hu, Tongqing Zhou, Zhihuang Liu*, Fang Liu, and Zhiping Cai*

IEEE Transactions on Big Data [Paper] [Project] [Code]

  • This paper first investigates the privacy-preserving learning problem on segmented healthcare data. Considering the data split situation, we propose to adapt split learning to support the distributed learning process and design a novel framework STSL (i.e., Spatio-temporal Split Learning).
FGCS
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Blockchain and trusted reputation assessment-based incentive mechanism for healthcare services

Yanhua Liu, Zhihuang Liu*, Qiu Zhang, Jinshu Su, Zhiping Cai, and Xiaoyan Li

Future Generation Computer Systems [Paper] [Project] [Code]

  • This Paper proposes a Blockchain and trusted Reputation assessment-based Incentive mechanism for healthcare services (BtRaI).
TCSVT
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PPIDM: Privacy-Preserving Inference for Diffusion Model in the Cloud

Zhangdong Wang, Zhihuang Liu, Yuanjing Luo, Tongqing Zhou, Jiaohua Qin, and Zhiping Cai*

IEEE Transactions on Circuits and Systems for Video Technology [Paper] [Project] [Code]

  • This paper proposes PPIDM (Privacy-Preserving Inference for Diffusion Models), a novel framework for diffusion model inference in cloud environments that mitigates both resource constraints and privacy risks.
TETC
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A Web Back-End Database Leakage Incident Reconstruction Framework Over Unlabeled Logs

Yanhua Liu, Zhihuang Liu*, Ximeng Liu, and Wenzhong Guo

IEEE Transactions on Emerging Topics in Computing [Paper] [Project] [Code]

  • This paper proposes a web back-end database leakage incident reconstruction framework (WeB-DLIR) over unlabeled logs, designed to improve the intelligence and automation of reconstructing web back-end database leakage incidents triggered by web-based attacks in unannotated logging environments.

🎖 Honors and Awards

  • [2024.12] Outstanding Student, National University of Defense Technology. (优秀学员)
  • [2024.12] National Scholarship, Ministry of Education, China. (博士研究生国家奖学金)
  • [2024.08] Excellent Master Thesis, Fuzhou University. (优秀硕士论文)
  • [2023.08] Special Award in Master Comprehensive Scholarship, Fuzhou University. (硕士综合学业奖学金特等奖)
  • [2023.06] Excellent Graduate, Fuzhou University. (优秀毕业生)
  • [2023.02] Third Prize (National), CCF Big Data & Computing Intelligence Contest. (CCF大数据与计算智能大赛全国三等奖)
  • [2022.11] National Scholarship, Ministry of Education, China. (硕士研究生国家奖学金)
  • [2020.12] Special Award for Outstanding New Student Scholarship, Fuzhou University. (优秀新生特等奖学金)
  • [2020.10] Third Prize (National), China Collegiate Computig Contest. (中国高校计算机大赛三等奖)
  • [2020.06] Excellent Graduate, Fuzhou University. (优秀毕业生)
  • [2019.12] First Prize (National), CCF Big Data & Computing Intelligence Contest. (CCF大数据与计算智能大赛全国一等奖)

📖 Educations

  • 2023.09 - now, Ph.D. Candidate, National University of Defense Technology, Changsha, China.
  • 2020.09 - 2023.06, Master, Fuzhou University, Fuzhou, China.
  • 2016.09 - 2020.06, Bachelor, Fuzhou University, Fuzhou, China.

💬 Invited Talks

  • 2024.09, Excellent Doctoral Student Forum, Xiamen, Organized by Xiamen University.

💻 Services

Journal Reviewer

  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC)
  • IEEE Internet of Things Journal (IOTJ)
  • SCIENCE CHINA Information Sciences (Chinese)
  • Scientific Reports

Conference Reviewer

  • The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • The Association for the Advancement of Artificial Intelligence (AAAI)
  • International Joint Conference on Artificial Intelligence (IJCAI)
  • ACM International Conference on Multimedia (ACM MM)

📬 Contact

Email: lzhliu@nudt.edu.cn

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