update 2 defense
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+ **Learning Product Rankings Robust to Fake Users**, *Arxiv*, [📝Paper](https://arxiv.org/abs/2009.05138)
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+ **Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning**, *WSDM*, [📝Paper](https://arxiv.org/abs/1911.09872)
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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)
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+ **Global and Local Differential Privacy for Collaborative Bandits**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412254)
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+ **Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World**, *RecSys*, [📝Paper](https://dl.acm.org/doi/pdf/10.1145/3383313.3412251)
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