RecAD: Towards A Unified Library for Recommender Attack and Defense

1 code implementation • 9 Sep 2023 • Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

Despite significant research progress in recommender attack and defense, there is a lack of a widely-recognized benchmarking standard in the field, leading to unfair performance comparison and limited credibility of experiments.

Benchmarking Recommendation Systems