Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning. - Sida Luo; Fangchao Yu; Lina Wang 001; Bo Zeng 006; Zhi Pang; Kai Zhao (ICANN (7), 2023)

PatchFinger: A Model Fingerprinting Scheme Based on Adversarial Patch. - Bo Zeng 006; Kunhao Lai; Jianpeng Ke; Fangchao Yu; Lina Wang 001 (ICONIP (2), 2023)

A Modified Gray Wolf Optimizer-Based Negative Selection Algorithm for Network Anomaly Detection. - Geying Yang; Lina Wang 001; Rongwei Yu; Junjiang He; Bo Zeng 006; Tian Wu (Int. J. Intell. Syst., 2023)

How to backdoor split learning. - Fangchao Yu; Lina Wang 001; Bo Zeng 006; Kai Zhao; Zhi Pang; Tian Wu (Neural Networks, 2023)

A novel multi-objective immunization algorithm based on dynamic variation distance. - Geying Yang; Junjiang He; Lina Wang 001; Bo Zeng 006; Tian Wu (Swarm Evol. Comput., 2023)

Chronic Poisoning: Backdoor Attack against Split Learning. - Fangchao Yu; Bo Zeng 006; Kai Zhao; Zhi Pang; Lina Wang 001 (AAAI, 2024)

FedGR: Genetic Algorithm and Relay Strategy Based Federated Learning. - Yifei Zeng; Kai Zhao; Fangchao Yu; Bo Zeng 006; Zhi Pang; Lina Wang 001 (CSCWD, 2024)

Personalized and privacy-enhanced federated learning framework via knowledge distillation. - Fangchao Yu; Lina Wang 001; Bo Zeng 006; Kai Zhao; Rongwei Yu (Neurocomputing, 2024)

StreamliNet: Cost-aware layer-wise neural network linearization for fast and accurate private inference. - Zhi Pang; Lina Wang 001; Fangchao Yu; Kai Zhao; Bo Zeng 006 (Inf. Sci., 2024)

SIA: A sustainable inference attack framework in split learning. - Fangchao Yu; Lina Wang 001; Bo Zeng 006; Kai Zhao; Tian Wu; Zhi Pang (Neural Networks, 2024)

LPPAC: Lightweight privacy-preserving distributed payments with access control. - Bo Zeng 006; Tian Wu; Fangchao Yu; Geying Yang; Kai Zhao; Lina Wang 001 (Comput. Networks, 2025)

FedMP: A multi-pronged defense algorithm against Byzantine poisoning attacks in federated learning. - Kai Zhao; Lina Wang 001; Fangchao Yu; Bo Zeng 006; Zhi Pang (Comput. Networks, 2025)

PrivCore: Multiplication-activation co-reduction for efficient private inference. - Zhi Pang; Lina Wang 001; Fangchao Yu; Kai Zhao; Bo Zeng 006; Shuwang Xu (Neural Networks, 2025)

GAN-based data reconstruction attacks in split learning. - Bo Zeng 006; Sida Luo; Fangchao Yu; Geying Yang; Kai Zhao; Lina Wang 001 (Neural Networks, 2025)

SplitAUM: Auxiliary Model-Based Label Inference Attack Against Split Learning. - Kai Zhao; Xiaowei Chuo; Fangchao Yu; Bo Zeng 006; Zhi Pang; Lina Wang 001 (IEEE Trans. Netw. Serv. Manag., 2025)