FREPD: A Robust Federated Learning Framework on Variational Autoencoder. - Zhipin Gu; Liangzhong He; Peiyan Li; Peng Sun; Jiangyong Shi; Yuexiang Yang (Comput. Syst. Sci. Eng., 2021)

Multiview Subspace Clustering via Co-Training Robust Data Representation. - Jiyuan Liu 003; Xinwang Liu 002; Yuexiang Yang; Xifeng Guo 001; Marius Kloft; Liangzhong He (IEEE Trans. Neural Networks Learn. Syst., 2022)

Defending against Poisoning Attacks in Federated Learning from a Spatial-temporal Perspective. - Zhipin Gu; Jiangyong Shi; Yuexiang Yang; Liangzhong He (SRDS, 2023)

Defending against Adversarial Attacks in Federated Learning on Metric Learning Model. - Zhipin Gu; Jiangyong Shi; Yuexiang Yang; Liangzhong He (TrustCom, 2023)

Speedy Privacy-Preserving Skyline Queries on Outsourced Data. - Yu Chen; Lin Liu 018; Rongmao Chen; Shaojing Fu; Yuexiang Yang; Jiangyong Shi; Liangzhong He (ESORICS (2), 2024)