From 495921f605f2d639b22d8eb1d96abec05e422aac Mon Sep 17 00:00:00 2001 From: EdisonLeeeee Date: Sat, 19 Sep 2020 16:53:22 +0800 Subject: [PATCH] fix --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 6b665ee..f7624ce 100644 --- a/README.md +++ b/README.md @@ -89,6 +89,7 @@ + **Directional Adversarial Training for Recommender Systems**, *ECAI*, [📝Paper](http://ecai2020.eu/papers/300_paper.pdf) + **Shilling Attack Detection Scheme in Collaborative Filtering Recommendation System Based on Recurrent Neural Network**, *Future of Information and Communication Conference*, [📝Paper](https://link.springer.com/chapter/10.1007/978-3-030-39445-5_46) + **Learning Product Rankings Robust to Fake Users**， *Arxiv*, [📝Paper](https://arxiv.org/abs/2009.05138) ++ **Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning**, *WSDM*, [📝Paper](https://arxiv.org/abs/1911.09872) @@ -99,7 +100,7 @@ + **Adversarial tensor factorization for context-aware recommendation**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3346987), [:octocat:Code] + **Adversarial Training-Based Mean Bayesian Personalized Ranking for Recommender System**, *IEEE Access*, [📝Paper](https://ieeexplore.ieee.org/document/8946325) + **Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach**，*WWW*, [📝Paper](https://www.ntu.edu.sg/home/boan/papers/WWW19.pdf) -+ **Shilling Attack Detection in Recommender System Using PCA and SVM**, *Emerging technologies in data mining and information security*, [📝Paper]https://link.springer.com/chapter/10.1007/978-981-13-1498-8_55) ++ **Shilling Attack Detection in Recommender System Using PCA and SVM**, *Emerging technologies in data mining and information security*, [📝Paper](https://link.springer.com/chapter/10.1007/978-981-13-1498-8_55) @@ -110,7 +111,6 @@ + **A shilling attack detector based on convolutional neural network for collaborative recommender system in social aware network**, *The Computer Journal*, [📝Paper](https://academic.oup.com/comjnl/article-abstract/61/7/949/4835634) + **Adversarial Sampling and Training for Semi-Supervised Information Retrieval**, *WWW*, [📝Paper](https://arxiv.org/abs/1506.05752) + **Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks**, *IEEE Transactions on Multimedia*, [📝Paper](https://ieeexplore.ieee.org/document/8576563) -+ **Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning**, *WSDM*, [📝Paper](https://arxiv.org/abs/1911.09872) + **An Obfuscated Attack Detection Approach for Collaborative Recommender Systems**, *Journal of computing and information technology*, [📝Paper](https://hrcak.srce.hr/203982) @@ -124,7 +124,7 @@ ## 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) + **Shilling attack detection in collaborative filtering recommender system by PCA detection and perturbation**, *International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)*, [📝Paper](https://ieeexplore.ieee.org/document/7731644) -+ **Re-scale AdaBoost for attack detection in collaborative filtering recommender systems**, *KBS*, [[📝Paper](https://www.sciencedirect.com/science/article/pii/S0950705116000861) ++ **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)