A Meta-learning-based Approach for Detecting Profile Injection Attacks in Collaborative Recommender Systems. - Fuzhi Zhang; Quanqiang Zhou (J. Comput., 2012)

HHT-SVM: An online method for detecting profile injection attacks in collaborative recommender systems. - Fuzhi Zhang; Quanqiang Zhou (Knowl. Based Syst., 2014)

Ensemble detection model for profile injection attacks in collaborative recommender systems based on BP neural network. - Fuzhi Zhang; Quanqiang Zhou (IET Inf. Secur., 2015)

Supervised approach for detecting average over popular items attack in collaborative recommender systems. - Quanqiang Zhou (IET Inf. Secur., 2016)

Recommendation attack detection based on deep learning. - Quanqiang Zhou; Jinxia Wu; Liangliang Duan (J. Inf. Secur. Appl., 2020)

Semi-supervised recommendation attack detection based on Co-Forest. - Quanqiang Zhou; Liangliang Duan (Comput. Secur., 2021)

Recommendation attack detection based on improved Meta Pseudo Labels. - Quanqiang Zhou; Kang Li; Liangliang Duan (Knowl. Based Syst., 2023)

A recommendation attack detection approach integrating CNN with Bagging. - Quanqiang Zhou; Cheng Huang (Comput. Secur., 2024)

PileNet: A high-and-low pass complementary filter with multi-level feature refinement for salient object detection. - Xiaoqi Yang 006; Liangliang Duan; Quanqiang Zhou (J. Vis. Commun. Image Represent., 2024)