FedRecAttack: Model Poisoning Attack to Federated Recommendation

FedRecAttack: Model Poisoning Attack to Federated Recommendation

1 April 2022

Papers citing "FedRecAttack: Model Poisoning Attack to Federated Recommendation"

19 / 19 papers shown

Title
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation Yuchuan Zhao Tong Chen Junliang Yu Kai Zheng Lizhen Cui Hongzhi Yin 21 0 0 09 Apr 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations J. Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 72 4 0 18 Feb 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 44 0 0 08 Jan 2025
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation Qitao Qin Yucong Luo Mingyue Cheng Qingyang Mao Chenyi Lei FedML 47 0 0 31 Dec 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Qianru Zhang Peng Yang Junliang Yu Haixin Wang Xingwei He S. Yiu Hongzhi Yin 41 1 0 03 Oct 2024
Poisoning Attacks and Defenses in Recommender Systems: A Survey Zongwei Wang Junliang Yu Min Gao Wei Yuan Guanhua Ye S. Sadiq Hongzhi Yin AAML 43 6 0 03 Jun 2024
Fed-Credit: Robust Federated Learning with Credibility Management Jiayan Chen Zhirong Qian Tianhui Meng Xitong Gao Tian-sheng Wang Weijia Jia FedML AAML 33 0 0 20 May 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures Ruiqi Zheng Liang Qu Tong Chen Kai Zheng Yuhui Shi Hongzhi Yin 29 7 0 01 Apr 2024
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach Yue Fu Qingqing Ye Rong Du Haibo Hu AAML 21 0 0 15 Mar 2024
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 29 13 0 18 Feb 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 24 3 0 22 Jan 2024
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 26 7 0 30 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 40 19 0 27 Nov 2023
Machine Unlearning Methodology base on Stochastic Teacher Network Xulong Zhang Jianzong Wang Ning Cheng Yifu Sun Chuanyao Zhang Jing Xiao MU 21 4 0 28 Aug 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Y. Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense Yang Yu Qi Liu Likang Wu Runlong Yu Sanshi Lei Yu Zaixin Zhang FedML 19 44 0 11 Dec 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios Dazhong Rong Qinming He Jianhai Chen FedML 16 41 0 26 Apr 2022
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 88 414 0 14 Feb 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 179 1,032 0 29 Nov 2018