Recommender-System-Fairness-and-Robustness

Collection of the SOTA fairness and robustness research articles in recommender systems.

A curated list of paper on fairness and robustness in recommender systems.

Papers are sorted by their uploaded dates in descending order.

How to Search?

Search keywords like conference name (e.g., NeurIPS), task name (e.g., Link Prediction), model name (e.g., DeepWalk), or method name (e.g., Robust) over the webpage to quickly locate related papers.

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Fairness papers sorted by year: | 2022 | 2021 | 2020 | 2019 |

Robustness papers sorted by year: | 2022 | 2021 | 2020 | 2019 |

Fairness Papers 2022

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2022	Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage	Graph	Graph Classification	GNNs	KDD’2022	Link	Link

Fairness Papers 2021

Fairness Papers 2020

Fairness Papers 2019

Robustness

Robustness Papers 2022

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2022	A Comprehensive Survey on Trustworthy Recommender Systems	Survey	Trustworthy Recommendeation	None	arXiv	Link
2022	A survey for trust-aware recommender systems: A deep learning perspective	Survey	Trustworthy Recommendeation		Knowledge-Based Systems'2022	Link
2022	A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks	Survey	Adversarial Recommender Systems		ACM Computing Surveys	Link
2022	A Survey on Trustworthy Recommender Systems	Survey	Recommendeation		arXiv	Link
2022	Adversarial Graph Perturbations for Recommendations at Scale	Adversarial Training	Defend Against Adversarial Attacks	GNNs	SIGIR'22	Link
2022	Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering	Graph denoising and diversity preserving	Recommendeation	GNN-based CF	SIGIR'22	Link
2022	Revisiting Item Promotion in GNN-based Collaborative Filtering: A Masked Targeted Topological Attack Perspective	Masked Targeted Topologica Attack	Attack on GNN-CF	GNN-based CF	arXiv	Link
2022	Self-Supervised Hypergraph Transformer for Recommender Systems	Self-Supervised Graph Learning	Alleviating the data sparsity and noise issues	GNN-based CF	KDD'2022	Link	Link
2022	Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles	GAN	Shilling attack on black-box RS	WRMF...	TNNLS'2022	Link	Link

Robustness Papers 2021

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2021	Bias and Debias in Recommender System: A Survey and Future Directions	Survey	Recommendeation	None	arXiv	Link
2021	Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation	Graph Denoise, Similarity	Recommendeation, Denoise	GNNs	arXiv	Link
2021	Denoising Implicit Feedback for Recommendation	Adaptive Denoising Training, Loss	Recommendeation, Denoise	MF	WSDM '21	Link
2021	Multi-view Denoising Graph Auto-Encoders on Heterogeneous Information Networks for Cold-start Recommendation	Multi-View Denoising Graph Auto-Encoders	Cold-start Recommendeation, Denoise	GNNs	KDD '21	Link
2021	Ready for emerging threats to recommender systems? A graph convolution-based generative shilling attack	Shilling Attack, GAN	Attack	GCN-based RS	Information Sciences'2021	Link
2021	Self-supervised Graph Learning for Recommendation	Self-supervised Graph Learning (SGL)	Allievate long-tail item and noisy interaction	LightGCN	SIGIR'2022	Link	Link
2021	Self-supervised Learning for Large-scale Item Recommendations	Self-Supervised Learning (SSL)	Allievate highly-skewed data distribution, lack of explicit user feedback problems	Two-tower DNN	CIKM'2021	Link

Robustness Papers 2020

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2020	Enhancing Social Recommendation with Adversarial Graph Convolutional Networks	GCN-based autoencoder,adversarial training	Social Recommendation	GNNs	TKDE'2020	Link
2020	GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection	Detection	Recommendation	GCN	SIGIR'2020	Link	Link
2020	Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback	Prune structure of interaction graph by similarity of multiple modalities	Multimedia Recommendation, Denoise	GCN	SIGIR'2020	Link	Link
2020	Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective	Survey		Recommendeation based on GAN	arXiv	Link
2020	Revisiting Adversarially Learned Injection Attacks Against Recommender Systems	Attack	Adversarial Injection Attack	WRMF,NCF,multi-vae,CML,ItemCF	Recsys'2020	Link	Link

Robustness Papers 2019

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2019	Adversarial Collaborative Neural Network for Robust Recommendation	Adversarial Training	Recommendation	Neural Network(NN)-based recommendation	SIGIR'2019	Link
2019	Collaborative Generative Adversarial Network for Recommendation Systems	GAN	Recommendation	DNN	ICDEW'2019	Link	Link
2019	Generating Reliable Friends via Adversarial Training to Improve Social Recommendation	GAN	Social Recommendation	MF	ICDM'2019	Link	Link

Robustness Papers 2018

Year	Title	Type	Target Task	Target Model	Venue	Paper	Code
2018	Adversarial Personalized Ranking for Recommendation	Adversarial Training	Recommendation	DNN	SIGIR'2018	Link	Link
2018	Attentive Contextual Denoising Autoencoder for Recommendation	Denoising Autoencoders	Recommendation, Denoising		ICTIR'2018	Link	Link
2018	Link Prediction Adversarial Attack	Attack in link prediction	Link prediction	GAE,DeepWalk,node2Vec...	Arvix	Link	Link
2018	Poisoning Attacks to Graph-Based Recommender Systems	Poisoning Attack	Graph-based RS	Graph-based RS	ACSAC'2018	Link

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