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### 👉 Table of Contents 👈
- [Awesome Adversarial Learning on Recommender System (Updating)](#awesome-adversarial-learning-on-recommender-system-updating)
- [👉 Table of Contents 👈](#-table-of-contents-)
- [👉 Table of Contents 👈](#-table-of-contents-)
- [Attack](#attack)
- [2022](#2022)
- [2021](#2021)
- [2020](#2020)
- [2019](#2019)
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# Attack
## 2022
+ **PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion**, *WSDM*, [📝Paper](https://arxiv.org/abs/2110.10926)
## 2021
+ **A Black-Box Attack Model for Visually-Aware Recommender Systems**, *WSDM*, [📝Paper](https://arxiv.org/abs/2011.02701)
+ **Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack**, *Information Sciences*, [📝Paper](https://arxiv.org/abs/2107.10457)
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+ **Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems**, *KDD*, [📝Paper](https://dl.acm.org/doi/abs/10.1145/3447548.3467335)
+ **Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction**, *RecSys*, [📝Paper](https://arxiv.org/abs/2109.01165)
+ **Membership Inference Attacks Against Recommender Systems**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2109.08045)
+ **PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion **, *WSDM*, [📝Paper](https://arxiv.org/abs/2110.10926)
## 2020
+ **Data Poisoning Attacks on Neighborhood-based Recommender Systems**, *ETT*, [📝Paper](https://arxiv.org/abs/1912.04109)