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ShillingAttackReadingList
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## 2019 ## 2019
+ **Adversarial Attacks on an Oblivious Recommender**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3347031) + **Adversarial Attacks on an Oblivious Recommender**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3347031)
+ **Targeted Poisoning Attacks on Social Recommender Systems**, *IEEE Global Communications Conference (GLOBECOM)*, [📝Paper](https://ieeexplore.ieee.org/document/9013539) + **Targeted Poisoning Attacks on Social Recommender Systems**, *IEEE Global Communications Conference (GLOBECOM)*, [📝Paper](https://ieeexplore.ieee.org/document/9013539)
@ -80,6 +81,8 @@
## 2021 ## 2021
## 2020 ## 2020
+ **GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2005.10150)
+ **On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs**, *ICML*, [📝Paper](https://arxiv.org/abs/2012.02509)
+ **A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2004.14734) + **A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2004.14734)
+ **Adversarial Collaborative Auto-encoder for Top-N Recommendation**, *Arxiv*, [📝Paper](https://arxiv.org/abs/1808.05361) + **Adversarial Collaborative Auto-encoder for Top-N Recommendation**, *Arxiv*, [📝Paper](https://arxiv.org/abs/1808.05361)
+ **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**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2006.07934)
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+ **Quick and accurate attack detection in recommender systems through user attributes**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3347050) + **Quick and accurate attack detection in recommender systems through user attributes**, *RecSys*, [📝Paper](https://dl.acm.org/doi/10.1145/3298689.3347050)
+ **Global and Local Differential Privacy for Collaborative Bandits**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412254) + **Global and Local Differential Privacy for Collaborative Bandits**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412254)
+ **Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412251) + **Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412251)
+ **GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection**, *RecSys*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3397271.3401165)