Recent Advance in Adversarial Attack and Defense for Recommendation System

This repository aims to provide links of recent advance in adversaria attack and defense fo recommendation System.

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Content

1. Survey Papers
2. Attack Papers
   1. Attack for CF
   2. Attack for GNN
3. Defense Papers

1. Survey Papers

2. Attack Papers

[1]. Influence Function based Data Poisoning Attacks to Top-N Recommender Systems.[paper] [code]
Minghong Fang, Neil Zhenqiang Gong, Jia Liu. WWW, 2020.

[]. Practical Data Poisoning Attack against Next-Item Recommendation[paper][code][data]
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao. WWW, 2020.

[2]. Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems.[paper] [code]
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang. SIGIR, 2020.

[3]. Revisiting Adversarially Learned Injection Attacks Against Recommender Systems[paper][code][data]
Jiaxi Tang, Hongyi Wen, Ke Wang. RecSys, 2020.

3. Defense Papers