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Various attack methods against recommender systems have been proposed in the past years, and the security issues of recommender systems have drawn considerable attention.
BPR: bayesian personalized ranking from implicit feedback
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme · 2009
Earlier work this paper cites.
Shilling attacks against recommender systems: a comprehensive survey
Ihsan Gunes, Cihan Kaleli, Alper Bilge, and Huseyin Polat · 2014
Earlier work this paper cites.
Data poisoning attacks on factorization-based collaborative filtering
Bo Li, Yining Wang, Aarti Singh, and Yevgeniy Vorobeychik · 2016
Earlier work this paper cites.
Training region-based object detectors with online hard example mining
Abhinav Shrivastava, Abhinav Gupta, and Ross Girshick · 2016
Earlier work this paper cites.
A neural collaborative filtering model with interaction-based neighborhood
Ting Bai, Ji-Rong Wen, Jun Zhang, and Wayne Xin Zhao · 2017
Earlier work this paper cites.
Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
Earlier work this paper cites.
Neural collaborative filtering
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua · 2017
Earlier work this paper cites.
A review of attacks and its detection attributes on collaborative recommender systems
Saakshi Kapoor, Vishal Kapoor, and Rohit Kumar · 2017
Cited alongside, same era.
Communication-efficient learning of deep networks from decentralized data
Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas · 2017
Cited alongside, same era.
Poisoning attacks to graph-based recommender systems
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, and Jia Liu · 2018
Cited alongside, same era.
Outer product-based neural collaborative filtering
Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, and Tat-Seng Chua · 2018
Cited alongside, same era.
Federated collaborative filtering for privacy-preserving personalized recommendation system
Muhammad Ammad-Ud-Din, Elena Ivannikova, Suleiman A Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan · 2019
Cited alongside, same era.
Fedrec: Federated recommendation with explicit feedback
Guanyu Lin, Feng Liang, Weike Pan, and Zhong Ming · 2020
Later among the works it cites.
Data poisoning attacks to deep learning based recommender systems
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, and Mingwei Xu · 2021
Later among the works it cites.
Fedrec++: Lossless federated recommendation with explicit feedback
Feng Liang, Weike Pan, and Zhong Ming · 2021
Later among the works it cites.
Self-supervised graph learning for recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, and Xing Xie · 2021
Later among the works it cites.
Self-supervised learning for large-scale item recommendations
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Ting Chen, Aditya Menon, Lichan Hong, Ed H Chi, Steve Tjoa, Jieqi Kang, et al · 2021
Later among the works it cites.
Fedrecattack: Model poisoning attack to federated recommendation
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How to backdoor federated learning
Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, and Vitaly Shmatikov · 2020
Cited alongside, same era.
Local model poisoning attacks to byzantine-robust federated learning
Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Gong · 2020
Cited alongside, same era.
Dazhong Rong, Shuai Ye, Ruoyan Zhao, Hon Ning Yuen, Jianhai Chen, and Qinming He · 2022
Closest in time.
Pipattack: Poisoning federated recommender systems for manipulating item promotion
Shijie Zhang, Hongzhi Yin, Tong Chen, Zi Huang, Quoc Viet Hung Nguyen, and Lizhen Cui · 2022
Closest in time.