Balancing Efficiency and Security for Network Access Control in Space-Air-Ground Integrated Networks. - Miao He; Xiangman Li; Jianbing Ni; Haomiao Yang (PST, 2021)

Securing E-Petition: A Privacy-Preserving Fine-Grained Electronic Petition System for Health and Political Petitions. - Xiangman Li; Yunke Liu; Jianbing Ni; Yuanyuan He 002 (ICC, 2022)

Secure and Privacy-preserving Network Slicing in 3GPP 5G System Architecture. - Xiangman Li; Miao He; Jianbing Ni (ICCC, 2023)

Privacy-Preserving Model Aggregation for Asynchronous Federated Learning. - Jianxiang Zhao; Xiangman Li; Jianbing Ni (ICCC, 2023)

Verifiable and Privacy-Preserving Ad Exchange for Smart Targeted Advertising. - Brennan Mosher; Xiangman Li; Yuanyuan He 002; Jianbing Ni (PST, 2023)

Accelerating Secure and Verifiable Data Deletion in Cloud Storage via SGX and Blockchain. - Xiangman Li; Xiaodong Wu; Jianbing Ni (GLOBECOM, 2024)

Evaluating Security and Robustness for Split Federated Learning Against Poisoning Attacks. - Xiaodong Wu; Henry Yuan; Xiangman Li; Jianbing Ni; Rongxing Lu (IEEE Trans. Inf. Forensics Secur., 2025)

PDLRecover: Privacy-preserving Decentralized Model Recovery with Machine Unlearning. - Xiangman Li; Xiaodong Wu; Jianbing Ni; Mohamed Mahmoud 001; Maazen Alsabaan (CoRR, 2025)

Security Assessment of DeepSeek and GPT Series Models against Jailbreak Attacks. - Xiaodong Wu; Xiangman Li; Jianbing Ni (CoRR, 2025)

SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts. - Xiaodong Wu; Xiangman Li; Qi Li; Jianbing Ni; Rongxing Lu (CoRR, 2025)

When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-box Setting. - Xiaodong Wu; Tianyi Tang; Xiangman Li; Jianbing Ni; Yong Yu 002 (CoRR, 2025)

SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks. - Xiangman Li; Xiaodong Wu; Qi Li; Jianbing Ni; Rongxing Lu (CoRR, 2025)