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2008.04876
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Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
11 August 2020
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
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Papers citing
"Revisiting Adversarially Learned Injection Attacks Against Recommender Systems"
30 / 30 papers shown
Title
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Shengkang Gu
Jiahao Liu
Dongsheng Li
Guangping Zhang
Mingzhe Han
Hansu Gu
Peng Zhang
Ning Gu
Li Shang
Tun Lu
AAML
38
0
0
18 May 2025
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
Yuchuan Zhao
Tong Chen
Junliang Yu
Kai Zheng
Lizhen Cui
Hongzhi Yin
59
0
0
09 Apr 2025
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
Shiyi Yang
Zhibo Hu
Xinshu Li
Chen Wang
Tong Yu
Xiwei Xu
Liming Zhu
Lina Yao
AAML
105
0
0
31 Mar 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
143
3
0
17 Jan 2025
Data Watermarking for Sequential Recommender Systems
Sixiao Zhang
Cheng Long
Wei Yuan
Hongxu Chen
Hongzhi Yin
151
0
0
20 Nov 2024
Adversarial Text Rewriting for Text-aware Recommender Systems
Ganesh Ghalme
Reshef Meir
Srijan Kumar
66
0
0
01 Aug 2024
Poisoning Attacks and Defenses in Recommender Systems: A Survey
Zongwei Wang
Junliang Yu
Min Gao
Wei Yuan
Guanhua Ye
S. Sadiq
Hongzhi Yin
AAML
80
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
105
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
80
26
0
23 Apr 2024
Poisoning Federated Recommender Systems with Fake Users
Ming Yin
Yichang Xu
Minghong Fang
Neil Zhenqiang Gong
AAML
FedML
87
16
0
18 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
Sejoon Oh
Berk Ustun
Julian McAuley
Srijan Kumar
50
2
0
05 Feb 2024
Securing Recommender System via Cooperative Training
Qingyang Wang
Chenwang Wu
Defu Lian
Enhong Chen
AAML
74
2
0
23 Jan 2024
ToDA: Target-oriented Diffusion Attacker against Recommendation System
Xiaohao Liu
Zhulin Tao
Ting Jiang
He Chang
Yunshan Ma
Yinwei Wei
Xianglin Huang
DiffM
AAML
96
4
0
23 Jan 2024
Untargeted Black-box Attacks for Social Recommendations
Wenqi Fan
Shijie Wang
Xiao Wei
Xiaowei Mei
Qing Li
MLAU
AAML
70
2
0
13 Nov 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Chengzhi Huang
Hui Li
67
13
0
21 Aug 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
48
2
0
25 Jul 2023
Recent Developments in Recommender Systems: A Survey
Yang Li
Kangbo Liu
Ranjan Satapathy
Suhang Wang
Erik Cambria
OffRL
137
35
0
22 Jun 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
Jinyuan Jia
Yupei Liu
Yuepeng Hu
Neil Zhenqiang Gong
70
13
0
26 Mar 2023
Practical Cross-System Shilling Attacks with Limited Access to Data
Meifang Zeng
Kedan Li
Bing Jiang
Liujuan Cao
Hui Li
AAML
38
8
0
14 Feb 2023
Mitigating Human and Computer Opinion Fraud via Contrastive Learning
Yuliya Tukmacheva
Ivan Oseledets
Evgeny Frolov
22
1
0
08 Jan 2023
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection
Y. Lai
Yulin Zhu
Wenqi Fan
Xiaoge Zhang
Kai Zhou
AAML
58
4
0
08 Nov 2022
Towards Robust Recommender Systems via Triple Cooperative Defense
Qingyang Wang
Defu Lian
Chenwang Wu
Enhong Chen
AAML
66
4
0
25 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
107
48
0
21 Sep 2022
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen
Wenqi Fan
Guanghui Zhu
Xiangyu Zhao
Chun Yuan
Qing Li
Jiaming Ji
MLAU
AAML
74
52
0
21 Jul 2022
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
Zhenrui Yue
Huimin Zeng
Ziyi Kou
Lanyu Shang
Dong Wang
AAML
48
26
0
19 Jul 2022
Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles
Chen Lin
Si Chen
Meifang Zeng
Sheng Zhang
Min Gao
Hui Li
AAML
75
37
0
23 Jun 2022
Rank List Sensitivity of Recommender Systems to Interaction Perturbations
Sejoon Oh
Berk Ustun
Julian McAuley
Srijan Kumar
76
36
0
29 Jan 2022
Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction
Zhenrui Yue
Zhankui He
Huimin Zeng
Julian McAuley
MLAU
AAML
70
68
0
01 Sep 2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
80
36
0
22 Jul 2021
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
Martha Larson
DiffM
65
28
0
02 Jun 2020
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