Adversarial Personalized Ranking for Recommendation

12 August 2018

Papers citing "Adversarial Personalized Ranking for Recommendation"

50 / 78 papers shown

Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 141 0 0 27 Apr 2025
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling Qiang Li Xinze Lin Shenghao Lv Faliang Huang X. Li 34 0 0 19 Apr 2025
RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents Zongwei Wang Min Gao Junliang Yu Yupeng Hou S. Sadiq Hongzhi Yin AI4CE 50 0 0 30 Mar 2025
Modeling Reference-dependent Choices with Graph Neural Networks Liang Zhang Guannan Liu Junjie Wu Yong Tan HAI 31 0 0 21 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 43 6 0 03 Jun 2024
Stability of Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 38 1 0 03 May 2024
Robust Explainable Recommendation Sairamvinay Vijayaraghavan Prasant Mohapatra AAML 23 0 0 03 May 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
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning Sejoon Oh Berk Ustun Julian McAuley Srijan Kumar 19 1 0 05 Feb 2024
Securing Recommender System via Cooperative Training Qingyang Wang Chenwang Wu Defu Lian Enhong Chen AAML 17 2 0 23 Jan 2024
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 14 5 0 20 Dec 2023
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation Yuting Liu Enneng Yang Yizhou Dang Guibing Guo Qiang Liu Yuliang Liang Linying Jiang Xingwei Wang 21 9 0 10 Nov 2023
Toward Robust Recommendation via Real-time Vicinal Defense Yichang Xu Chenwang Wu Defu Lian AAML 8 0 0 29 Sep 2023
Automatic Feature Fairness in Recommendation via Adversaries Hengchang Hu Yiming Cao Zhankui He Samson Tan Min-Yen Kan AAML FaML 8 2 0 27 Sep 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 15 6 0 20 Aug 2023
Large Language Models as Zero-Shot Conversational Recommenders Zhankui He Zhouhang Xie Rahul Jha Harald Steck Dawen Liang Yesu Feng Bodhisattwa Prasad Majumder Nathan Kallus Julian McAuley 24 129 0 19 Aug 2023
Recent Developments in Recommender Systems: A Survey Yang Li Kangbo Liu Ranjan Satapathy Suhang Wang Erik Cambria OffRL 71 31 0 22 Jun 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bing Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation Jin-Duk Park Siqing Li Xin Cao Won-Yong Shin 17 7 0 30 May 2023
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion Zilong Lin Zhengyi Li Xiaojing Liao XiaoFeng Wang Xiaozhong Liu AAML 10 9 0 22 Apr 2023
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training Juntao Tan Shelby Heinecke Zhiwei Liu Yong-Guang Chen Yongfeng Zhang Haiquan Wang AAML 19 4 0 11 Apr 2023
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 28 17 0 20 Nov 2022
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection Y. Lai Yulin Zhu Wenqi Fan Xiaoge Zhang Kai Zhou AAML 26 4 0 08 Nov 2022
Towards Robust Recommender Systems via Triple Cooperative Defense Qingyang Wang Defu Lian Chenwang Wu Enhong Chen AAML 16 4 0 25 Oct 2022
Efficient Bi-Level Optimization for Recommendation Denoising Zongwei Wang Min Gao Wentao Li Junliang Yu Linxin Guo Hongzhi Yin 16 27 0 19 Oct 2022
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design Mira Kim Simon S. Woo 16 0 0 28 Sep 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 40 46 0 21 Sep 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders Zhenrui Yue Huimin Zeng Ziyi Kou Lanyu Shang Dong Wang AAML 12 25 0 19 Jul 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 18 34 0 22 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 11 4 0 17 Jun 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 30 0 0 07 Jun 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 19 7 0 05 May 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SeongKu Kang Dongha Lee Wonbin Kweon Junyoung Hwang Hwanjo Yu 17 12 0 26 Feb 2022
Learning Explicit User Interest Boundary for Recommendation Jianhuan Zhuo Qiannan Zhu Yinliang Yue Yuhong Zhao 11 17 0 22 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 24 15 0 28 Oct 2021
Lagrangian Inference for Ranking Problems Yue Liu Ethan X. Fang Junwei Lu BDL FedML 12 17 0 01 Oct 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 45 64 0 02 Sep 2021
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality V. W. Anelli Yashar Deldjoo T. D. Noia Felice Antonio Merra 16 0 0 29 Jul 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 17 34 0 22 Jul 2021
Adversarial Attack and Defense in Deep Ranking Mo Zhou Le Wang Zhenxing Niu Qilin Zhang N. Zheng G. Hua OOD 26 14 0 07 Jun 2021
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies Dushyant Sahoo Christos Davatzikos OOD 26 3 0 13 May 2021
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning Dushyant Sahoo Christos Davatzikos 17 2 0 20 Apr 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation Zhe Xie Chengxuan Liu Yichi Zhang Hongtao Lu Dong Wang Yue Ding BDL DRL 28 91 0 19 Mar 2021
Quantitative robustness of instance ranking problems Tino Werner 16 2 0 12 Mar 2021
Botcha: Detecting Malicious Non-Human Traffic in the Wild Sunny Dhamnani R. Sinha Vishwa Vinay Lilly Kumari M. Savova 11 5 0 02 Mar 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 6 32 0 08 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 12 28 0 05 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 56 1,174 0 04 Nov 2020
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings V. W. Anelli Alejandro Bellogín Yashar Deldjoo T. D. Noia Felice Antonio Merra AAML 8 5 0 03 Oct 2020
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders V. W. Anelli T. D. Noia Daniele Malitesta Felice Antonio Merra AAML 19 2 0 02 Oct 2020