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Fairness Reprogramming


Sep 21, 2022
Guanhua Zhang, Yihua Zhang, Yang Zhang, Wenqi Fan, Qing Li, Sijia Liu, Shiyu Chang


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A Comprehensive Survey on Trustworthy Recommender Systems


Sep 21, 2022
Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li


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Disentangled Contrastive Learning for Social Recommendation


Aug 18, 2022
Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang

* CIKM2022 

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Knowledge-enhanced Black-box Attacks for Recommendations


Jul 21, 2022
Jingfan Chen, Wenqi Fan, Guanghui Zhu, Xiangyu Zhao, Chunfeng Yuan, Qing Li, Yihua Huang

* Accepted in the KDD'22 

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Defense Against Gradient Leakage Attacks via Learning to Obscure Data


Jun 01, 2022
Yuxuan Wan, Han Xu, Xiaorui Liu, Jie Ren, Wenqi Fan, Jiliang Tang

* 13 pages, 2 figures 

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Automated Machine Learning for Deep Recommender Systems: A Survey


Apr 04, 2022
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang


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Graph Trend Networks for Recommendations


Aug 12, 2021
Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li


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Jointly Attacking Graph Neural Network and its Explanations


Aug 07, 2021
Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu Aggarwal


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Trustworthy AI: A Computational Perspective


Aug 02, 2021
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

* 55 pages 

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