Conditional privacy-preserving authentication and key agreement scheme for roaming services in VANETs. - Yousheng Zhou; Xingwang Long; Lvjun Chen; Zheng Yan 002 (J. Inf. Secur. Appl., 2019)

RPFL: Robust and Privacy Federated Learning against Backdoor and Sample Inference Attacks. - Di Xiao 001; Zhuyang Yu; Lvjun Chen (ICPADS, 2023)

CFMVOR: Federated Multi-view 3D Object Recognition Based on Compressed Learning. - Di Xiao 001; Meng Zhang; Maolan Zhang; Lvjun Chen (PRCV (13), 2024)

Data Privacy-Preserving and Communication Efficient Federated Multilinear Compressed Learning. - Di Xiao 001; Zhuyan Yang; Maolan Zhang; Lvjun Chen (TrustCom, 2024)

Secure and efficient federated learning via novel multi-party computation and compressed sensing. - Lvjun Chen; Di Xiao 001; Zhuyang Yu; Maolan Zhang (Inf. Sci., 2024)

Secure and Efficient Federated Learning via Novel Authenticable Multi-Party Computation and Compressed Sensing. - Lvjun Chen; Di Xiao 001; Xiangli Xiao; Yushu Zhang 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Federated Cross-Client Collaborative Filtering with Tensor Compressive Learning. - Maolan Zhang; Di Xiao 001; Lvjun Chen; Jindong Xia; Zhuyan Yang (ICASSP, 2025)

Fog-driven communication-efficient and privacy-preserving federated learning based on compressed sensing. - Hui Huang 008; Di Xiao 001; Mengdi Wang; Jia Liang; Min Li 021; Lvjun Chen; Yanqi Liu (Comput. Networks, 2025)

ACPP-MIH: A robust multiple image hiding framework with adaptive cover image privacy protection. - Yu Ren; Di Xiao 001; Lvjun Chen; Min Li 021 (Expert Syst. Appl., 2025)

Communication-privacy-accuracy trade-offs in federated learning for non-IID data with shuffle model. - Di Xiao 001; Xinchun Fan; Lvjun Chen; Min Li 021; Maolan Zhang (Knowl. Based Syst., 2025)

Adaptive compressed learning boosts both efficiency and utility of differentially private federated learning. - Min Li 021; Di Xiao 001; Lvjun Chen (Signal Process., 2025)