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Data Poisoning Attacks to Deep Learning Based Recommender Systems

7 January 2021

Qi Li

Papers citing "Data Poisoning Attacks to Deep Learning Based Recommender Systems"

20 / 20 papers shown

Title
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents Shiyi Yang Zhibo Hu Xinshu Li Chen Wang Tong Yu Xiwei Xu Liming Zhu Lina Yao AAML 108 0 0 31 Mar 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations Junxuan Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 146 4 0 18 Feb 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann Celestine Mendler-Dünner 143 3 0 17 Jan 2025
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library Lei Cheng Xiaowen Huang Jitao Sang Jian Yu AAML 105 1 0 27 Apr 2024
Shilling Black-box Review-based Recommender Systems through Fake Review Generation Hung-Yun Chiang Yi-Syuan Chen Yun-Zhu Song Hong-Han Shuai Jason J. S. Chang AAML 68 13 0 27 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 55 1 0 11 Jun 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 112 81 0 29 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yang Liu Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 113 68 0 27 Dec 2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning Yacine Belal A. Bellet Sonia Ben Mokhtar Vlad Nitu 65 10 0 09 Aug 2022
Knowledge-enhanced Black-box Attacks for Recommendations Jingfan Chen Wenqi Fan Guanghui Zhu Xiangyu Zhao Chun Yuan Qing Li Jiaming Ji MLAU AAML 74 52 0 21 Jul 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang AAML 50 26 0 19 Jul 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning Hongbin Liu Jinyuan Jia Neil Zhenqiang Gong 69 36 0 13 May 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios Dazhong Rong Qinming He Jianhai Chen FedML 95 43 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 99 60 0 01 Apr 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 80 36 0 29 Jan 2022
Poisoning Attacks to Local Differential Privacy Protocols for Key-Value Data Yongji Wu Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 93 34 0 22 Nov 2021
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 96 10 0 18 Jun 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 156 155 0 01 May 2021
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 115 75 0 07 Dec 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures Evgenios M. Kornaropoulos Silei Ren R. Tamassia AAML 69 19 0 01 Aug 2020