liwenyun
/
ShillingAttackReadingList
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

update 2 papers; update badges.

This commit is contained in:
EdisonLeeeee 2020-08-21 11:28:35 +08:00
parent 9f448ad056
commit 7ff2c1d2b5
1 changed files with 4 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -2,7 +2,8 @@
# Awesome Adversarial Learning on Recommender System (Updating) # Awesome Adversarial Learning on Recommender System (Updating)
[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome) [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com) [![Contributions Welcome](https://img.shields.io/badge/Contributions-welcome-brightgreen.svg?style=flat-square)](http://makeapullrequest.com)
![](https://img.shields.io/github/license/EdisonLeeeee/RS-Adversarial-Learning)
### 👉 Table of Contents 👈 ### 👉 Table of Contents 👈
+ [Attack](#1) + [Attack](#1)
@ -30,7 +31,7 @@
## 2020 ## 2020
+ **Data Poisoning Attacks on Neighborhood-based Recommender Systems**, *ETT*, [📝Paper](https://arxiv.org/abs/1912.04109) + **Data Poisoning Attacks on Neighborhood-based Recommender Systems**, *ETT*, [📝Paper](https://arxiv.org/abs/1912.04109)
+ **Attacking Black-box Recommendations via Copying Cross-domain User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08147) + **Attacking Black-box Recommendations via Copying Cross-domain User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08147)
+ **Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.07934) + **Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems**, *SIGIR*, [📝Paper](https://arxiv.org/abs/2006.07934)
+ **Adversarial Attacks on Linear Contextual Bandits**, *Arxiv*, [📝Paper](https://arxiv.org/pdf/2002.03839) + **Adversarial Attacks on Linear Contextual Bandits**, *Arxiv*, [📝Paper](https://arxiv.org/pdf/2002.03839)
+ **Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.01888), [:octocat:Code](https://github.com/liuzrcc/AIP) + **Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.01888), [:octocat:Code](https://github.com/liuzrcc/AIP)
+ **Influence Function based Data Poisoning Attacks to Top-N Recommender Systems**, *WWW*, [📝Paper](https://arxiv.org/abs/2002.08025) + **Influence Function based Data Poisoning Attacks to Top-N Recommender Systems**, *WWW*, [📝Paper](https://arxiv.org/abs/2002.08025)
@ -39,6 +40,7 @@
+ **Attacking Recommender Systems with Augmented User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08164) + **Attacking Recommender Systems with Augmented User Profiles**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.08164)
+ **Practical Data Poisoning Attack against Next-Item Recommendation**, *WWW*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3366423.3379992) + **Practical Data Poisoning Attack against Next-Item Recommendation**, *WWW*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3366423.3379992)
+ **PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems**, *ICDE*, [📝Paper](https://ieeexplore.ieee.org/abstract/document/9101655) + **PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems**, *ICDE*, [📝Paper](https://ieeexplore.ieee.org/abstract/document/9101655)
+ **Data Poisoning Attacks against Differentially Private Recommender Systems**, *SIGIR*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3397271.3401301)