update.
This commit is contained in:
EdisonLeeeee
parent
ebaad810b3
commit
541889f55f
51
README.md
51
README.md
|
|
@ -1,4 +1,3 @@
|
|||
<a class="toc" id="table-of-contents"></a>
|
||||
|
||||
# Awesome Adversarial Learning on Recommender System (Updating)
|
||||
[](https://github.com/sindresorhus/awesome)
|
||||
|
|
@ -6,27 +5,30 @@
|
|||
|
||||
|
||||
### 👉 Table of Contents 👈
|
||||
+ [Attack](#1)
|
||||
+ [2020](#1-1)
|
||||
+ [2019](#1-2)
|
||||
+ [2018](#1-3)
|
||||
+ [2017](#1-4)
|
||||
+ [2016](#1-5)
|
||||
+ [Defense](#2)
|
||||
+ [2020](#2-1)
|
||||
+ [2019](#2-2)
|
||||
+ [2018](#2-3)
|
||||
+ [2017](#2-4)
|
||||
+ [2016](#2-5)
|
||||
+ [Survey](#3)
|
||||
+ [Resource](#4)
|
||||
- [Attack](#attack)
|
||||
- [2021](#2021)
|
||||
- [2020](#2020)
|
||||
- [2019](#2019)
|
||||
- [2018](#2018)
|
||||
- [2017](#2017)
|
||||
- [2016](#2016)
|
||||
- [Defense](#defense)
|
||||
- [2021](#2021-1)
|
||||
- [2020](#2020-1)
|
||||
- [2019](#2019-1)
|
||||
- [2018](#2018-1)
|
||||
- [2017](#2017-1)
|
||||
- [2016](#2016-1)
|
||||
- [Survey](#survey)
|
||||
- [Resource](#resource)
|
||||
- [Slides](#slides)
|
||||
|
||||
|
||||
<a class="toc" id ="1"></a>
|
||||
|
||||
# Attack
|
||||
|
||||
<a class="toc" id ="1-1"></a>
|
||||
## 2021
|
||||
+ **A Black-Box Attack Model for Visually-Aware Recommender Systems**, *WSDM*, [📝Paper](https://arxiv.org/abs/2011.02701)
|
||||
|
||||
|
||||
## 2020
|
||||
+ **Data Poisoning Attacks on Neighborhood-based Recommender Systems**, *ETT*, [📝Paper](https://arxiv.org/abs/1912.04109)
|
||||
|
|
@ -45,7 +47,6 @@
|
|||
|
||||
|
||||
|
||||
<a class="toc" id ="1-2"></a>
|
||||
|
||||
## 2019
|
||||
+ **Adversarial Attacks on an Oblivious Recommender**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3347031)
|
||||
|
|
@ -57,18 +58,15 @@
|
|||
|
||||
|
||||
|
||||
<a class="toc" id ="1-3"></a>
|
||||
|
||||
## 2018
|
||||
+ **Poisoning attacks to graph-based recommender systems**, *Annual Computer Security Applications Conference (ACSAC)*, [📝Paper](https://arxiv.org/abs/1809.04127), [:octocat:Code](https://github.com/alanefl/graph-based-recommender-attacks)
|
||||
|
||||
|
||||
<a class="toc" id ="1-4"></a>
|
||||
|
||||
## 2017
|
||||
+ **Fake Co-visitation Injection Attacks to Recommender Systems**, *NDSS*, [📝Paper](http://people.duke.edu/~zg70/papers/ndss17-attackRS.pdf)
|
||||
+ **Hybrid attacks on model-based social recommender systems**, *Physica A: Statistical Mechanics and its Applications*, [📝Paper](https://www.sciencedirect.com/science/article/abs/pii/S0378437117303436)
|
||||
<a class="toc" id ="1-5"></a>
|
||||
|
||||
## 2016
|
||||
+ **Data Poisoning Attacks on Factorization-Based Collaborative Filtering**, *NIPS*, [📝Paper](https://arxiv.org/abs/1608.08182), [:octocat:Code](https://github.com/fuying-wang/Data-poisoning-attacks-on-factorization-based-collaborative-filtering)
|
||||
|
|
@ -76,11 +74,10 @@
|
|||
+ **Shilling attack models in recommender system**, *International Conference on Inventive Computation Technologies (ICICT)*, [📝Paper](https://ieeexplore.ieee.org/document/7824865)
|
||||
|
||||
|
||||
<a class="toc" id ="2"></a>
|
||||
|
||||
# Defense
|
||||
|
||||
<a class="toc" id ="2-1"></a>
|
||||
## 2021
|
||||
|
||||
## 2020
|
||||
+ **A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2004.14734)
|
||||
|
|
@ -98,7 +95,6 @@
|
|||
|
||||
|
||||
|
||||
<a class="toc" id ="2-2"></a>
|
||||
|
||||
## 2019
|
||||
+ **Adversarial Training Towards Robust Multimedia Recommender System**, *TKDE*, [📝Paper](https://graphreason.github.io/papers/35.pdf), [:octocat:Code](https://github.com/duxy-me/AMR)
|
||||
|
|
@ -111,7 +107,6 @@
|
|||
|
||||
|
||||
|
||||
<a class="toc" id ="2-3"></a>
|
||||
|
||||
## 2018
|
||||
+ **Adversarial Personalized Ranking for Recommendation**, *SIGIR*, [📝Paper](https://dl.acm.org/citation.cfm?id=3209981), [:octocat:Code](https://github.com/hexiangnan/adversarial_personalized_ranking)
|
||||
|
|
@ -120,13 +115,11 @@
|
|||
+ **Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks**, *IEEE Transactions on Multimedia*, [📝Paper](https://ieeexplore.ieee.org/document/8576563)
|
||||
+ **An Obfuscated Attack Detection Approach for Collaborative Recommender Systems**, *Journal of computing and information technology*, [📝Paper](https://hrcak.srce.hr/203982)
|
||||
|
||||
<a class="toc" id ="2-4"></a>
|
||||
|
||||
## 2017
|
||||
+ **Detecting Abnormal Profiles in Collaborative Filtering Recommender Systems**, *Journal of Intelligent Information Systems*, [📝Paper](https://link.springer.com/article/10.1007/s10844-016-0424-5)
|
||||
+ **Detection of Profile Injection Attacks in Social Recommender Systems Using Outlier Analysis**, *IEEE Big Data*, [📝Paper](http://www.cs.ucf.edu/~anahita/08258235.pdf)
|
||||
+ **Prevention of shilling attack in recommender systems using discrete wavelet transform and support vector machine**, *Eighth International Conference on Advanced Computing (ICoAC)*, [📝Paper](https://ieeexplore.ieee.org/document/7951753)
|
||||
<a class="toc" id ="2-5"></a>
|
||||
|
||||
## 2016
|
||||
+ **Discovering shilling groups in a real e-commerce platform**, *Online Information Review*, [📝Paper](https://www.emerald.com/insight/content/doi/10.1108/OIR-03-2015-0073/full/html)
|
||||
|
|
@ -134,7 +127,6 @@
|
|||
+ **Re-scale AdaBoost for attack detection in collaborative filtering recommender systems**, *KBS*, [📝Paper](https://www.sciencedirect.com/science/article/pii/S0950705116000861)
|
||||
+ **SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems**, *Neurocomputing*, [📝Paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231216306038)
|
||||
|
||||
<a class="toc" id ="3"></a>
|
||||
|
||||
# Survey
|
||||
|
||||
|
|
@ -149,7 +141,6 @@
|
|||
+ **Recommender Systems: Attack Types and Strategies**, *AAAI*2005, 📝[Paper](https://www.aaai.org/Papers/AAAI/2005/AAAI05-053.pdf)
|
||||
+ **A Review of Attacks and Its Detection Attributes on Collaborative Recommender Systems**, *IJARCS2017*, 📝[Paper](http://www.ijarcs.info/index.php/Ijarcs/article/download/4550/4100)
|
||||
|
||||
<a class="toc" id ="4"></a>
|
||||
|
||||
# Resource
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue