README.md

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.

Welcome to contact me if you are also interested in this field!

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