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Revisiting Adversarially Learned Injection Attacks Against Recommender Systems

11 August 2020

Papers citing "Revisiting Adversarially Learned Injection Attacks Against Recommender Systems"

30 / 30 papers shown

Title
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems Shengkang Gu Jiahao Liu Dongsheng Li Guangping Zhang Mingzhe Han Hansu Gu Peng Zhang Ning Gu Li Shang Tun Lu AAML 38 0 0 18 May 2025
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation Yuchuan Zhao Tong Chen Junliang Yu Kai Zheng Lizhen Cui Hongzhi Yin 59 0 0 09 Apr 2025
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 105 0 0 31 Mar 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann Celestine Mendler-Dünner 143 3 0 17 Jan 2025
Data Watermarking for Sequential Recommender Systems Sixiao Zhang Cheng Long Wei Yuan Hongxu Chen Hongzhi Yin 151 0 0 20 Nov 2024
Adversarial Text Rewriting for Text-aware Recommender Systems Ganesh Ghalme Reshef Meir Srijan Kumar 66 0 0 01 Aug 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 80 6 0 03 Jun 2024
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
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures Thanh Toan Nguyen Quoc Viet Hung Nguyen Thanh Tam Nguyen T. T. Huynh Thanh Thi Nguyen Matthias Weidlich Hongzhi Yin AAML 80 26 0 23 Apr 2024
Poisoning Federated Recommender Systems with Fake Users Ming Yin Yichang Xu Minghong Fang Neil Zhenqiang Gong AAML FedML 87 16 0 18 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 50 2 0 05 Feb 2024
Securing Recommender System via Cooperative Training Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 74 2 0 23 Jan 2024
ToDA: Target-oriented Diffusion Attacker against Recommendation System Xiaohao Liu Zhulin Tao Ting Jiang He Chang Yunshan Ma Yinwei Wei Xianglin Huang DiffM AAML 96 4 0 23 Jan 2024
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 70 2 0 13 Nov 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 67 13 0 21 Aug 2023
The GANfather: Controllable generation of malicious activity to improve defence systems Ricardo Pereira Jacopo Bono João Tiago Ascensão David Oliveira Aparício Pedro Ribeiro P. Bizarro AAML 48 2 0 25 Jul 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 137 35 0 22 Jun 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks Jinyuan Jia Yupei Liu Yuepeng Hu Neil Zhenqiang Gong 70 13 0 26 Mar 2023
Practical Cross-System Shilling Attacks with Limited Access to Data Meifang Zeng Kedan Li Bing Jiang Liujuan Cao Hui Li AAML 38 8 0 14 Feb 2023
Mitigating Human and Computer Opinion Fraud via Contrastive Learning Yuliya Tukmacheva Ivan Oseledets Evgeny Frolov 22 1 0 08 Jan 2023
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection Y. Lai Yulin Zhu Wenqi Fan Xiaoge Zhang Kai Zhou AAML 58 4 0 08 Nov 2022
Towards Robust Recommender Systems via Triple Cooperative Defense Qingyang Wang Defu Lian Chenwang Wu Enhong Chen AAML 66 4 0 25 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems Wenqi Fan Xiangyu Zhao Xiao Chen Jingran Su Jingtong Gao ... Qidong Liu Yiqi Wang Hanfeng Xu Lei Chen Qing Li FaML 107 48 0 21 Sep 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 48 26 0 19 Jul 2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles Chen Lin Si Chen Meifang Zeng Sheng Zhang Min Gao Hui Li AAML 75 37 0 23 Jun 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 76 36 0 29 Jan 2022
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction Zhenrui Yue Zhankui He Huimin Zeng Julian McAuley MLAU AAML 70 68 0 01 Sep 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 80 36 0 22 Jul 2021
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start Zhuoran Liu Martha Larson DiffM 65 28 0 02 Jun 2020