Data Poisoning Attacks to Deep Learning Based Recommender Systems

Data Poisoning Attacks to Deep Learning Based Recommender Systems

7 January 2021

Neil Zhenqiang Gong

Qi Li

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

11 / 11 papers shown

Title
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems Shiyi Yang Z. Hu Chen Wang Tong Yu Xiwei Xu Liming Zhu Lina Yao AAML 39 0 0 31 Mar 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
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann Celestine Mendler-Dünner 78 2 0 17 Jan 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
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks Jinyuan Jia Yupei Liu Yuepeng Hu Neil Zhenqiang Gong 15 13 0 26 Mar 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 31 75 0 29 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
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 16 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 13 57 0 01 Apr 2022
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 31 10 0 18 Jun 2021