Zhang Jie

1. Jie Zhang, Dongdong Chen, Jing Liao, Zehua Ma, Han Fang, Weiming Zhang, Hua Gang, Nenghai Yu. Robust Model Watermarking for Image Processing Networks via Structure Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2024

2. Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Nenghai Yu. Digital Watermarking for Machine Learning Models. Chapter 6: Protecting Image Processing Networks via Model Watermarking. Springer book. 2023

3. Jie Zhang, Dongdong Chen, Jing Liao, Qidong Huang, Hua Gang, Weiming Zhang, Nenghai Yu. Poison Ink: Robust and Invisible Backdoor Attack. IEEE Transactions on Image Processing (TIP). 2022

4. Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Hua Gang, Huamin Feng, Nenghai Yu. Deep Model Intellectual Property Protection via Deep Watermarking. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). 2021

5. Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Hua Gang, Nenghai Yu. Passport-aware Normalization for Deep Model Protection. Advances in Neural Information Processing Systems (NeurIPS). 2020

6. Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu. Model Watermarking for Image Processing Networks. AAAI Conference on Artificial Intelligence (AAAI). 2020

7. Yutong Wu, Jie Zhang*, Florian Kerschbaum, and Tianwei Zhang. Backdooring Textual Inversion for Concept Censorship. The Network and Distributed System Security Symposium (NDSS). 2025

8. Ruiqi Wang, Jinyang Huang, Jie Zhang*, Xin Liu, Xiang Zhang, Zhi Liu, Peng Zhao, Sigui Chen, and Xiao Sun. FacialPulse: An Efficient RNN-based Depression Detection via Temporal Facial Landmarks. ACM MM 24 (Oral). 2024

9. Yanghao Su, Jie Zhang*, Ting Xu, Tianwei Zhang, Weiming Zhang, Nenghai Yu. Model X-ray: Backdoor Detection for MLaaS via Decision Boundary. ACM MM 24. 2024

10. Runyi Hu, Jie Zhang*, Ting Xu, Jiwei Li, Tianwei Zhang. Robust-Wide: Robust Watermarking against Instruction-driven Image Editing. ECCV 24. 2024

11. Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang*, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, and Nenghai Yu. AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA. ICML 24. 2024

12. Kui Zhang, Hang Zhou, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu. Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation. ICML 24. 2024

13. Kunsheng Tang, Wenbo Zhou, Jie Zhang*, Aishan Liu, Gelei Deng, Shuai Li, Peigui Qi, Weiming Zhang, Tianwei Zhang, Nenghai Yu. GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models. The ACM Conference on Computer and Communications Security (CCS). 2024

14. Chang Liu, Jie Zhang*, Tianwei Zhang, Xi Yang, Weiming Zhang, and Nenghai Yu. Detecting Voice Cloning Attacks via Timbre Watermarking. The Network and Distributed System Security Symposium (NDSS). 2024

15. Qidong Huang, Jie Zhang*, Wenbo Zhou, Weiming Zhang, Nenghai Yu. Initiative Defense against Facial Manipulation, AAAI Conference on Artificial Intelligence (AAAI). 2021

16. Zhiwen Ren, Han Fang, Jie Zhang, Zehua Ma, Ronghao Lin, Weiming Zhang, Nenghai Yu. A Robust Database Watermarking Scheme That Preserves Statistical Characteristics. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2023

17. Hanlin Gu, Gongxi Zhu, Jie Zhang, Yuxing Han, Lixin Fan, Qiang Yang. Unlearning during Learning: An Streamlined Federated Machine Unlearning Method. IJCAI. 2024

18. Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang. Towards Reliable Verification of Unauthorized Data Usage in Personalised Text-to-Image Diffusion Models. IEEE Symposium on Security and Privacy (S&P). 2025