UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering. - Fuzhi Zhang; Zening Zhang; Peng Zhang; Shilei Wang 002 (Knowl. Based Syst., 2018)

Unsupervised approach for detecting shilling attacks in collaborative recommender systems based on user rating behaviours. - Fuzhi Zhang; Zhoujun Ling; Shilei Wang 002 (IET Inf. Secur., 2019)

Graph embedding-based approach for detecting group shilling attacks in collaborative recommender systems. - Fuzhi Zhang; Yueqi Qu; Yishu Xu; Shilei Wang 002 (Knowl. Based Syst., 2020)

Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering. - Fuzhi Zhang; Shilei Wang 002 (IEEE Trans. Comput. Soc. Syst., 2020)

Detecting shilling groups in online recommender systems based on graph convolutional network. - Shilei Wang 002; Peng Zhang; Hui Wang; Hongtao Yu; Fuzhi Zhang (Inf. Process. Manag., 2022)