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Towards Robust Recommender Systems via Triple Cooperative Defense

Towards Robust Recommender Systems via Triple Cooperative Defense

25 October 2022
Qingyang Wang
Defu Lian
Chenwang Wu
Enhong Chen
    AAML
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Papers citing "Towards Robust Recommender Systems via Triple Cooperative Defense"

4 / 4 papers shown
Title
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng
Xiaowen Huang
Jitao Sang
Jian Yu
AAML
43
1
0
27 Apr 2024
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems
Zohreh Ovaisi
Shelby Heinecke
Jia Li
Yongfeng Zhang
Elena Zheleva
Caiming Xiong
51
21
0
12 Jan 2022
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
53
400
0
26 Feb 2020
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
99
2,625
0
13 Mar 2017
1