Data Poisoning Attacks on Factorization-Based Collaborative Filtering

29 August 2016

Aarti Singh

Papers citing "Data Poisoning Attacks on Factorization-Based Collaborative Filtering"

50 / 57 papers shown

Title
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning Phung Lai Guanxiong Liu Hai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu FedML 36 0 0 17 Apr 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent Liang-bo Ning Shijie Wang Wenqi Fan Qing Li Xin Xu Hao Chen Feiran Huang AAML 30 17 0 13 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 80 4 0 18 Feb 2025
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 86 1 0 16 Dec 2024
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems Zehua Wang Min Gao Junliang Yu Xinyi Gao Quoc Viet Hung Nguyen S. Sadiq Hongzhi Yin AAML 54 3 0 18 Sep 2024
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
Model Stealing Attack against Recommender System Zhihao Zhu Rui Fan Chenwang Wu Yi Yang Defu Lian Enhong Chen AAML 27 2 0 18 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 34 7 0 30 Nov 2023
Toward Robust Recommendation via Real-time Vicinal Defense Yichang Xu Chenwang Wu Defu Lian AAML 18 0 0 29 Sep 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 29 13 0 21 Aug 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 13 4 0 29 Mar 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks Jinyuan Jia Yupei Liu Yuepeng Hu Neil Zhenqiang Gong 29 13 0 26 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 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 84 47 0 21 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 33 20 0 14 Feb 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 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 Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 29 60 0 27 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 30 4 0 13 Dec 2022
Training-Time Attacks against k-Nearest Neighbors Ara Vartanian Will Rosenbaum Scott Alfeld 14 1 0 15 Aug 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 59 5 0 30 May 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 27 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 24 57 0 01 Apr 2022
How to Backdoor HyperNetwork in Personalized Federated Learning? Phung Lai Nhathai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu AAML FedML 33 0 0 18 Jan 2022
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation Ş. Ionescu Yuhao Du K. Joseph Anikó Hannák 16 2 0 16 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 21 34 0 22 Jul 2021
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers Xi Li David J. Miller Zhen Xiang G. Kesidis AAML 16 0 0 28 May 2021
Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance Jack W. Stokes P. England K. Kane AAML 15 14 0 20 May 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 67 34 0 18 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 32 26 0 10 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 20 129 0 07 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 28 29 0 21 Nov 2020
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes Jinyuan Jia Binghui Wang Neil Zhenqiang Gong AAML 35 5 0 26 Oct 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 19 215 0 04 Sep 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 21 162 0 22 Jun 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 14 124 0 21 Jun 2020
Robust Federated Recommendation System Chen Chen Jingfeng Zhang A. Tung Mohan Kankanhalli Gang Chen FedML 44 26 0 15 Jun 2020
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise Michał Koziarski Michal Wo'zniak Bartosz Krawczyk 11 113 0 07 Apr 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning Amin Rakhsha Goran Radanović R. Devidze Xiaojin Zhu Adish Singla AAML OffRL 9 120 0 28 Mar 2020
Resilient Distributed Diffusion in Networks with Adversaries Jiani Li W. Abbas X. Koutsoukos AAML 15 31 0 23 Mar 2020
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Bo-wen Li D. Song AAML 27 106 0 17 Nov 2019
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 33 76 0 05 Nov 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning Xuanqing Liu Si Si Xiaojin Zhu Yang Li Cho-Jui Hsieh AAML 35 76 0 30 Oct 2019
Policy Poisoning in Batch Reinforcement Learning and Control Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu AAML OffRL 21 109 0 13 Oct 2019
Data Poisoning Attacks on Stochastic Bandits Fang Liu Ness B. Shroff AAML 13 98 0 16 May 2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses Yuzhe Ma Xiaojin Zhu Justin Hsu SILM 17 157 0 23 Mar 2019