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2107.10457
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Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
22 July 2021
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
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Papers citing
"Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack"
8 / 8 papers shown
Title
Poisoning Attacks and Defenses in Recommender Systems: A Survey
Zongwei Wang
Junliang Yu
Min Gao
Wei Yuan
Guanhua Ye
S. Sadiq
Hongzhi Yin
AAML
43
6
0
03 Jun 2024
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng
Xiaowen Huang
Jitao Sang
Jian Yu
AAML
25
1
0
27 Apr 2024
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
Thanh Toan Nguyen
Quoc Viet Hung Nguyen
Thanh Tam Nguyen
T. T. Huynh
Thanh Thi Nguyen
Matthias Weidlich
Hongzhi Yin
AAML
23
21
0
23 Apr 2024
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
26
7
0
30 Nov 2023
The GANfather: Controllable generation of malicious activity to improve defence systems
Ricardo Pereira
Jacopo Bono
João Tiago Ascensão
David Oliveira Aparício
Pedro Ribeiro
P. Bizarro
AAML
21
2
0
25 Jul 2023
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection
Y. Lai
Yulin Zhu
Wenqi Fan
Xiaoge Zhang
Kai Zhou
AAML
24
4
0
08 Nov 2022
Efficient Bi-Level Optimization for Recommendation Denoising
Zongwei Wang
Min Gao
Wentao Li
Junliang Yu
Linxin Guo
Hongzhi Yin
16
27
0
19 Oct 2022
Discussion about Attacks and Defenses for Fair and Robust Recommendation System Design
Mira Kim
Simon S. Woo
16
0
0
28 Sep 2022
1