Awesome Adversarial Learning on Recommender System (Updating)
๐ Table of Contents ๐
Attack
2022
- PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion, WSDM,
๐ Paper - Targeted Data Poisoning Attack on News Recommendation System๏ผ Arxiv,
๐ Paper - FedRecAttack: Model Poisoning Attack to Federated Recommendation, ICDE,
๐ Paper,
Code - Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios, IJCAI,
๐ Paper
2021
- A Black-Box Attack Model for Visually-Aware Recommender Systems, WSDM,
๐ Paper - Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack, Information Sciences,
๐ Paper - Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data, KDD,
๐ Paper - Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems, KDD,
๐ Paper - Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction, RecSys,
๐ Paper - Membership Inference Attacks Against Recommender Systems, Arxiv,
๐ Paper
2020
- Data Poisoning Attacks on Neighborhood-based Recommender Systems, ETT,
๐ Paper - Attacking Black-box Recommendations via Copying Cross-domain User Profiles, Arxiv,
๐ Paper - Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, SIGIR,
๐ Paper - Adversarial Attacks on Linear Contextual Bandits, Arxiv,
๐ Paper - Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start, Arxiv,
๐ Paper,Code - Influence Function based Data Poisoning Attacks to Top-N Recommender Systems, WWW,
๐ Paper - TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems, Dependable and Secure Machine Learning (DSML),
๐ Paper,Code - Adversarial Attacks on Time Series, IEEE Transactions on Pattern Analysis and Machine Intelligence,
๐ Paper - Attacking Recommender Systems with Augmented User Profiles, Arxiv,
๐ Paper - Practical Data Poisoning Attack against Next-Item Recommendation, WWW,
๐ Paper - PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems, ICDE,
๐ Paper - Data Poisoning Attacks against Differentially Private Recommender Systems, SIGIR,
๐ Paper - Revisiting Adversarially Learned Injection Attacks Against Recommender Systems, RecSys,
๐ Paper
2019
- Adversarial Attacks on an Oblivious Recommender, RecSys,
๐ Paper - Targeted Poisoning Attacks on Social Recommender Systems, IEEE Global Communications Conference (GLOBECOM),
๐ Paper - Data Poisoning Attacks on Graph Convolutional Matrix Completion๏ผInternational Conference on Algorithms and Architectures for Parallel Processing,
๐ Paper - Data Poisoning Attacks on Stochastic Bandits, ICML,
๐ Paper - Data Poisoning Attacks on Cross-domain Recommendation, CIKM,
๐ Paper - Assessing the Impact of a User-Item Collaborative Attack on Class of Users, RecSys Workshop,
๐ Paper
2018
- Poisoning attacks to graph-based recommender systems, Annual Computer Security Applications Conference (ACSAC),
๐ Paper,Code
2017
- Fake Co-visitation Injection Attacks to Recommender Systems, NDSS,
๐ Paper - Hybrid attacks on model-based social recommender systems, Physica A: Statistical Mechanics and its Applications,
๐ Paper
2016
- Data Poisoning Attacks on Factorization-Based Collaborative Filtering, NIPS,
๐ Paper,Code - Segment-Focused Shilling Attacks against Recommendation Algorithms in Binary Ratings-based Recommender Systems, International Journal of Hybrid Information Technology,
๐ Paper - Shilling attack models in recommender system, International Conference on Inventive Computation Technologies (ICICT),
๐ Paper
Defense
2021
- Graph Embedding for Recommendation against Attribute Inference Attacks, WWW,
๐ Paper - Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality, Arxiv,
๐ Paper
2020
- GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection, Arxiv,
๐ Paper - On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs, ICML,
๐ Paper - A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering, Arxiv,
๐ Paper - Adversarial Collaborative Auto-encoder for Top-N Recommendation, Arxiv,
๐ Paper - Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, Arxiv,
๐ Paper - Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks, WSDM,
๐ Paper - Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines, SIGIR,
๐ Paper - Directional Adversarial Training for Recommender Systems, ECAI,
๐ Paper - Shilling Attack Detection Scheme in Collaborative Filtering Recommendation System Based on Recurrent Neural Network, Future of Information and Communication Conference,
๐ Paper - Learning Product Rankings Robust to Fake Users๏ผ Arxiv,
๐ Paper - Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning, WSDM,
๐ Paper - Quick and accurate attack detection in recommender systems through user attributes, RecSys,
๐ Paper - Global and Local Differential Privacy for Collaborative Bandits, RecSys,
๐ Paper - Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World, RecSys,
๐ Paper - GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection, RecSys,
๐ Paper
2019
- Adversarial Training Towards Robust Multimedia Recommender System, TKDE,
๐ Paper,Code - Adversarial Collaborative Neural Network for Robust Recommendation, SIGIR,
๐ Paper - Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation, SIGIR,
๐ Paper,Code - Adversarial tensor factorization for context-aware recommendation, RecSys,
๐ Paper, [Code] - Adversarial Training-Based Mean Bayesian Personalized Ranking for Recommender System, IEEE Access,
๐ Paper - Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach๏ผWWW,
๐ Paper - Shilling Attack Detection in Recommender System Using PCA and SVM, Emerging technologies in data mining and information security,
๐ Paper
2018
- Adversarial Personalized Ranking for Recommendation, SIGIR,
๐ Paper,Code - A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network, The Computer Journal,
๐ Paper - Adversarial Sampling and Training for Semi-Supervised Information Retrieval, WWW,
๐ Paper - Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks, IEEE Transactions on Multimedia,
๐ Paper - An Obfuscated Attack Detection Approach for Collaborative Recommender Systems, Journal of computing and information technology,
๐ Paper
2017
- Detecting Abnormal Profiles in Collaborative Filtering Recommender Systems, Journal of Intelligent Information Systems,
๐ Paper - Detection of Pro๏ฌle Injection Attacks in Social Recommender Systems Using Outlier Analysis, IEEE Big Data,
๐ Paper - Prevention of shilling attack in recommender systems using discrete wavelet transform and support vector machine, Eighth International Conference on Advanced Computing (ICoAC),
๐ Paper
2016
- Discovering shilling groups in a real e-commerce platform, Online Information Review,
๐ Paper - Shilling attack detection in collaborative filtering recommender system by PCA detection and perturbation, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR),
๐ Paper - Re-scale AdaBoost for attack detection in collaborative filtering recommender systems, KBS,
๐ Paper - SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems, Neurocomputing,
๐ Paper
Survey
- A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks, ACM Computing Surveys (CSUR) 2021,
๐ Paper - Adversarial Machine Learning in Recommender Systems: State of the art and Challenges, Arxiv2020,
๐ Paper - A Survey of Adversarial Learning on Graphs, Arxiv2020,
๐ Paper - Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study, Arxiv2020,
๐ Paper - Shilling attacks against collaborative recommender systems: a review, Artificial Intelligence Review,
๐ Paper - Adversarial Attacks and Defenses in Images, Graphs and Text: A Review, Arxiv2019,
๐ Paper - A Survey of Attacks in Collaborative Recommender Systems, Journal of Computational and Theoretical Nanoscience 2019,
๐ Paper - Adversarial Attack and Defense on Graph Data: A Survey, Arxiv2018,
๐ Paper - Adversarial Machine Learning: The Case of Recommendation Systems, IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC),
๐ Paper - Recommender Systems: Attack Types and Strategies, AAAI2005,
๐ Paper - A Review of Attacks and Its Detection Attributes on Collaborative Recommender Systems, IJARCS2017,
๐ Paper
Resource
- Awesome Graph Adversarial Learning Link
- Awesome Graph Attack and Defense Papers Link
- Graph Adversarial Learning Literature Link
- A Complete List of All (arXiv) Adversarial Example Papers
๐ Link - Robust Matrix Completion via Robust Gradient Descent
๐ Link - **Adversarial Machine Learning in Recommender Systems:Literature Review and Future Visions ** Link