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A curated collection of adversarial attack and defense on recommender systems.

Awesome Adversarial Learning on Recommender System (Updating)

Awesome Contributions Welcome

πŸ‘‰ Table of Contents πŸ‘ˆ

Attack

2022

  • PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion, WSDM, πŸ“Paper
  • Targeted Data Poisoning Attack on News Recommendation System, Arxiv, πŸ“Paper
  • FedRecAttack: Model Poisoning Attack to Federated Recommendation, ICDE, πŸ“Paper, :octocat:Code
  • Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios, IJCAI, πŸ“Paper

2021

  • A Black-Box Attack Model for Visually-Aware Recommender Systems, WSDM, πŸ“Paper
  • Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack, Information Sciences, πŸ“Paper
  • Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data, KDD, πŸ“Paper
  • Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems, KDD, πŸ“Paper
  • Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction, RecSys, πŸ“Paper
  • Membership Inference Attacks Against Recommender Systems, Arxiv, πŸ“Paper

2020

  • Data Poisoning Attacks on Neighborhood-based Recommender Systems, ETT, πŸ“Paper
  • Attacking Black-box Recommendations via Copying Cross-domain User Profiles, Arxiv, πŸ“Paper
  • Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, SIGIR, πŸ“Paper
  • Adversarial Attacks on Linear Contextual Bandits, Arxiv, πŸ“Paper
  • Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start, Arxiv, πŸ“Paper, :octocat:Code
  • Influence Function based Data Poisoning Attacks to Top-N Recommender Systems, WWW, πŸ“Paper
  • TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems, Dependable and Secure Machine Learning (DSML), πŸ“Paper, :octocat:Code
  • Adversarial Attacks on Time Series, IEEE Transactions on Pattern Analysis and Machine Intelligence, πŸ“Paper
  • Attacking Recommender Systems with Augmented User Profiles, Arxiv, πŸ“Paper
  • Practical Data Poisoning Attack against Next-Item Recommendation, WWW, πŸ“Paper
  • PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems, ICDE, πŸ“Paper
  • Data Poisoning Attacks against Differentially Private Recommender Systems, SIGIR, πŸ“Paper
  • Revisiting Adversarially Learned Injection Attacks Against Recommender Systems, RecSys, πŸ“Paper

2019

  • Adversarial Attacks on an Oblivious Recommender, RecSys, πŸ“Paper
  • Targeted Poisoning Attacks on Social Recommender Systems, IEEE Global Communications Conference (GLOBECOM), πŸ“Paper
  • Data Poisoning Attacks on Graph Convolutional Matrix Completion,International Conference on Algorithms and Architectures for Parallel Processing, πŸ“Paper
  • Data Poisoning Attacks on Stochastic Bandits, ICML, πŸ“Paper
  • Data Poisoning Attacks on Cross-domain Recommendation, CIKM, πŸ“Paper
  • Assessing the Impact of a User-Item Collaborative Attack on Class of Users, RecSys Workshop, πŸ“Paper

2018

  • Poisoning attacks to graph-based recommender systems, Annual Computer Security Applications Conference (ACSAC), πŸ“Paper, :octocat:Code

2017

  • Fake Co-visitation Injection Attacks to Recommender Systems, NDSS, πŸ“Paper
  • Hybrid attacks on model-based social recommender systems, Physica A: Statistical Mechanics and its Applications, πŸ“Paper

2016

  • Data Poisoning Attacks on Factorization-Based Collaborative Filtering, NIPS, πŸ“Paper, :octocat:Code
  • Segment-Focused Shilling Attacks against Recommendation Algorithms in Binary Ratings-based Recommender Systems, International Journal of Hybrid Information Technology, πŸ“Paper
  • Shilling attack models in recommender system, International Conference on Inventive Computation Technologies (ICICT), πŸ“Paper

Defense

2021

  • Graph Embedding for Recommendation against Attribute Inference Attacks, WWW, πŸ“Paper
  • Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality, Arxiv, πŸ“Paper

2020

  • GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection, Arxiv, πŸ“Paper
  • On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs, ICML, πŸ“Paper
  • A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering, Arxiv, πŸ“Paper
  • Adversarial Collaborative Auto-encoder for Top-N Recommendation, Arxiv, πŸ“Paper
  • Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems, Arxiv, πŸ“Paper
  • Adversarial Learning to Compare: Self-Attentive Prospective Customer Recommendation in Location based Social Networks, WSDM, πŸ“Paper
  • Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines, SIGIR, πŸ“Paper
  • Directional Adversarial Training for Recommender Systems, ECAI, πŸ“Paper
  • Shilling Attack Detection Scheme in Collaborative Filtering Recommendation System Based on Recurrent Neural Network, Future of Information and Communication Conference, πŸ“Paper
  • Learning Product Rankings Robust to Fake Users, Arxiv, πŸ“Paper
  • Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning, WSDM, πŸ“Paper
  • Quick and accurate attack detection in recommender systems through user attributes, RecSys, πŸ“Paper
  • Global and Local Differential Privacy for Collaborative Bandits, RecSys, πŸ“Paper
  • Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World, RecSys, πŸ“Paper
  • GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection, RecSys, πŸ“Paper

2019

  • Adversarial Training Towards Robust Multimedia Recommender System, TKDE, πŸ“Paper, :octocat:Code
  • Adversarial Collaborative Neural Network for Robust Recommendation, SIGIR, πŸ“Paper
  • Adversarial Mahalanobis Distance-based Attentive Song Recommender for Automatic Playlist Continuation, SIGIR, πŸ“Paper, :octocat:Code
  • Adversarial tensor factorization for context-aware recommendation, RecSys, πŸ“Paper, [:octocat:Code]
  • Adversarial Training-Based Mean Bayesian Personalized Ranking for Recommender System, IEEE Access, πŸ“Paper
  • Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach,WWW, πŸ“Paper
  • Shilling Attack Detection in Recommender System Using PCA and SVM, Emerging technologies in data mining and information security, πŸ“Paper

2018

  • Adversarial Personalized Ranking for Recommendation, SIGIR, πŸ“Paper, :octocat:Code
  • A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network, The Computer Journal, πŸ“Paper
  • Adversarial Sampling and Training for Semi-Supervised Information Retrieval, WWW, πŸ“Paper
  • Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks, IEEE Transactions on Multimedia, πŸ“Paper
  • An Obfuscated Attack Detection Approach for Collaborative Recommender Systems, Journal of computing and information technology, πŸ“Paper

2017

  • Detecting Abnormal Profiles in Collaborative Filtering Recommender Systems, Journal of Intelligent Information Systems, πŸ“Paper
  • Detection of Profile Injection Attacks in Social Recommender Systems Using Outlier Analysis, IEEE Big Data, πŸ“Paper
  • Prevention of shilling attack in recommender systems using discrete wavelet transform and support vector machine, Eighth International Conference on Advanced Computing (ICoAC), πŸ“Paper

2016

  • Discovering shilling groups in a real e-commerce platform, Online Information Review, πŸ“Paper
  • Shilling attack detection in collaborative filtering recommender system by PCA detection and perturbation, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), πŸ“Paper
  • Re-scale AdaBoost for attack detection in collaborative filtering recommender systems, KBS, πŸ“Paper
  • SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems, Neurocomputing, πŸ“Paper

Survey

  • A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks, ACM Computing Surveys (CSUR) 2021, πŸ“Paper
  • Adversarial Machine Learning in Recommender Systems: State of the art and Challenges, Arxiv2020, πŸ“Paper
  • A Survey of Adversarial Learning on Graphs, Arxiv2020, πŸ“Paper
  • Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study, Arxiv2020, πŸ“Paper
  • Shilling attacks against collaborative recommender systems: a review, Artificial Intelligence Review, πŸ“Paper
  • Adversarial Attacks and Defenses in Images, Graphs and Text: A Review, Arxiv2019, πŸ“Paper
  • A Survey of Attacks in Collaborative Recommender Systems, Journal of Computational and Theoretical Nanoscience 2019, πŸ“Paper
  • Adversarial Attack and Defense on Graph Data: A Survey, Arxiv2018, πŸ“Paper
  • Adversarial Machine Learning: The Case of Recommendation Systems, IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), πŸ“Paper
  • Recommender Systems: Attack Types and Strategies, AAAI2005, πŸ“Paper
  • A Review of Attacks and Its Detection Attributes on Collaborative Recommender Systems, IJARCS2017, πŸ“Paper

Resource

  • Awesome Graph Adversarial Learning :octocat:Link
  • Awesome Graph Attack and Defense Papers :octocat:Link
  • Graph Adversarial Learning Literature :octocat:Link
  • A Complete List of All (arXiv) Adversarial Example Papers 🌐Link
  • Robust Matrix Completion via Robust Gradient Descent 🌐Link
  • **Adversarial Machine Learning in Recommender Systems:Literature Review and Future Visions ** :octocat:Link

Slides

  • UCI Lecture 🌐Link
  • RecSys2020 Tutorial :octocat:Link

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