RecAD: Towards A Unified Library for Recommender Attack and Defense

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]

@inproceedings{WangYWGF023,
  title = {RecAD: Towards A Unified Library for Recommender Attack and Defense},
  author = {Changsheng Wang and Jianbai Ye and Wenjie Wang and Chongming Gao and Fuli Feng and Xiangnan He 0001},
  year = {2023},
  doi = {10.1145/3604915.3609490},
  url = {https://doi.org/10.1145/3604915.3609490},
  researchr = {https://researchr.org/publication/WangYWGF023},
  cites = {0},
  citedby = {0},
  pages = {234-244},
  booktitle = {Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023},
  editor = {Jie Zhang 0002 and Li Chen 0009 and Shlomo Berkovsky and Min Zhang 0006 and Tommaso Di Noia and Justin Basilico and Luiz Pizzato and Yang Song},
  publisher = {ACM},
}