RecAD: Towards A Unified Library for Recommender Attack and Defense - researchr publication authors

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Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He 0001. RecAD: Towards A Unified Library for Recommender Attack and Defense. In Jie Zhang 0002, Li Chen 0009, Shlomo Berkovsky, Min Zhang 0006, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song, editors, Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. pages 234-244, ACM, 2023. [doi]

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