Poisoning Attacks to Graph-Based Recommender Systems

11 September 2018

Papers citing "Poisoning Attacks to Graph-Based Recommender Systems"

25 / 25 papers shown

Title
Preventing the Popular Item Embedding Based Attack in Federated Recommendations J. Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 60 4 0 18 Feb 2025
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library Lei Cheng Xiaowen Huang Jitao Sang Jian Yu AAML 25 1 0 27 Apr 2024
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 27 0 0 07 Mar 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
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 24 13 0 21 Aug 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks Jinyuan Jia Yupei Liu Yuepeng Hu Neil Zhenqiang Gong 13 13 0 26 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 81 47 0 21 Feb 2023
XMAM:X-raying Models with A Matrix to Reveal Backdoor Attacks for Federated Learning Jianyi Zhang Fangjiao Zhang Qichao Jin Zhiqiang Wang Xiaodong Lin X. Hei AAML FedML 32 0 0 28 Dec 2022
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
Federated Learning based on Defending Against Data Poisoning Attacks in IoT Jiayin Li Wenzhong Guo Xingshuo Han Jianping Cai Ximeng Liu AAML 69 1 0 14 Sep 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 25 34 0 13 May 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios Dazhong Rong Qinming He Jianhai Chen FedML 11 41 0 26 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation Dazhong Rong Shuai Ye Ruoyan Zhao Hon Ning Yuen Jianhai Chen Qinming He AAML FedML 11 57 0 01 Apr 2022
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 36 23 0 25 Feb 2022
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion Shijie Zhang Hongzhi Yin Tong Chen Zi Huang Quoc Viet Hung Nguyen Li-zhen Cui FedML AAML 9 96 0 21 Oct 2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack Fan Wu Min Gao Junliang Yu Zongwei Wang Kecheng Liu Wange Xu AAML 11 34 0 22 Jul 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 37 10 0 21 Apr 2021
Data Poisoning Attacks and Defenses to Crowdsourcing Systems Minghong Fang Minghao Sun Qi Li Neil Zhenqiang Gong Jinhua Tian Jia-Wei Liu 47 34 0 18 Feb 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems Hai Huang Jiaming Mu Neil Zhenqiang Gong Qi Li Bin Liu Mingwei Xu AAML 17 129 0 07 Jan 2021
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes Jinyuan Jia Binghui Wang Neil Zhenqiang Gong AAML 19 5 0 26 Oct 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl W. R. Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 19 215 0 04 Sep 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 23 637 0 16 Jul 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 11 162 0 22 Jun 2020
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 25 76 0 05 Nov 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 24 152 0 01 Mar 2019