📖 Publications

[Preprint] IDDM: Identity-Decoupled Personalized Diffusion Models with a Tunable Privacy-Utility Trade-off
Linyan Dai, Xinwei Zhang, Haoyang Li, Qingqing Ye, Haibo Hu
Arxiv, 2026.

[Preprint] Grounding-Driven Attack: Improving Encoder-based Adversarial Transferability against Large Vision-Language Models
Xinwei Zhang, Li Bai, Tianwei Zhang, Youqian Zhang, Qingqing Ye, Yingnan Zhao, Ruochen Du, Haibo Hu
Arxiv, 2026.

[ICML’26] On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
Xinwei Zhang, Hangcheng Liu, Li Bai✉️, Hao Wang, Qingqing Ye, Tianwei Zhang, Haibo Hu
In Proc. of International Conference on Machine Learning, 2026.

[USENIX SEC’26] United We Defend: Collaborative Membership Inference Defenses in Federated Learning
Li Bai, Junxu Liu, Sen Zhang, Xinwei Zhang, Qingqing Ye, Haibo Hu✉️
In Proc. of USENIX Security Symposium, 2026.

[TDSC’26] A Deep Dynamic Graph Generative Framework for Blockchain Phishing Detection
Siyi Xiao, Lejun Zhang✉️, Xinwei Zhang, Sen Zhang, Shen Su, Jing Qiu, Ran Guo, Haibo Hu
IEEE Transactions on Dependable and Secure Computing (TDSC), 2026.

[WWW’25] MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective
Xinwei Zhang, Haibo Hu✉️, Qingqing Ye, Li Bai, Huadi Zheng
In Proc. of The ACM Web Conference (WWW), 2025.

[NeurIPS’25] Toward Efficient Inference Attacks: Shadow Model Sharing via Mixture-of-Experts
Li Bai, Qingqing Ye, Xinwei Zhang, Sen Zhang, Zi Liang, Jianliang Xu, Haibo Hu✉️
In Proc. Neural Information Processing Systems (NeurIPS), December 2025.

[TIFS’25] ProVFL: Property Inference Attacks against Vertical Federated Learning
Li Bai, Xinwei Zhang, Sen Zhang, Qingqing Ye, Haibo Hu✉️
IEEE Transactions on Information Forensics and Security (TIFS), vol. 20, pp. 6529–6543, 2025.

[TVT’24] Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Xinwei Zhang, Guyue Li✉️, Junqing Zhang, Linning Peng, Aiqun Hu, Xianbin Wang
IEEE Transactions on Vehicular Technology (TVT), vol. 73, no. 7, pp. 10135–10149, July 2024.

[ICC’24] A Secure and Reliable Blockchain-based Audit Log System
Zhonghao Liu, Xinwei Zhang, Guyue Li, Helei Cui, Jiaheng Wang, Bin Xiao✉️
In Proc. IEEE International Conference on Communications (ICC), 2024.

[ICC’23] DBE-voting: A Privacy-preserving and Auditable Blockchain-based E-voting System
Zhonghao Liu, Xinwei Zhang, Laphou Lao, Guyue Li, Bin Xiao✉️
In Proc. IEEE International Conference on Communications (ICC), 2023.

[IoT-J’22] Deep Learning-based Physical-Layer Secret Key Generation for FDD Systems
Xinwei Zhang, Guyue Li✉️, Junqing Zhang, Aiqun Hu, Zongyue Hou, Bin Xiao
IEEE Internet of Things Journal (IoT-J), vol. 9, no. 8, pp. 6081–6094, April 2022.

[VTC’21] Secret Key Generation for FDD Systems Based on Complex-Valued Neural Network
Xinwei Zhang, Guyue Li✉️, Zongyue Hou, Aiqun Hu
In Proc. 2021 IEEE 94th Vehicular Technology Conference (VTC), 2021.

[INFOCOM-W’21] Secret Key Generation Scheme Based on Generative Adversarial Networks in FDD Systems
Zongyue Hou, Xinwei Zhang✉️
In Proc. IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021.