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Poisoning Attacks and Defenses in Recommender Systems: A Survey

Poisoning Attacks and Defenses in Recommender Systems: A Survey

3 June 2024
Zongwei Wang
Junliang Yu
Min Gao
Wei Yuan
Guanhua Ye
S. Sadiq
Hongzhi Yin
    AAML
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Papers citing "Poisoning Attacks and Defenses in Recommender Systems: A Survey"

27 / 27 papers shown
Title
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
Zehua Wang
Min Gao
Junliang Yu
Xinyi Gao
Quoc Viet Hung Nguyen
S. Sadiq
Hongzhi Yin
AAML
86
2
0
18 Sep 2024
Stealthy Attack on Large Language Model based Recommendation
Stealthy Attack on Large Language Model based Recommendation
Jinghao Zhang
Yuting Liu
Qiang Liu
Shu Wu
Guibing Guo
Liang Wang
64
13
0
18 Feb 2024
Recommender Systems in the Era of Large Language Models (LLMs)
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
KELM
103
337
0
05 Jul 2023
Shilling Black-box Review-based Recommender Systems through Fake Review
  Generation
Shilling Black-box Review-based Recommender Systems through Fake Review Generation
Hung-Yun Chiang
Yi-Syuan Chen
Yun-Zhu Song
Hong-Han Shuai
Jason J. S. Chang
AAML
36
13
0
27 Jun 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous
  Item Embeddings and the Defense
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
Yang Yu
Qi Liu
Likang Wu
Runlong Yu
Sanshi Lei Yu
Zaixin Zhang
FedML
54
47
0
11 Dec 2022
Efficient Bi-Level Optimization for Recommendation Denoising
Efficient Bi-Level Optimization for Recommendation Denoising
Zongwei Wang
Min Gao
Wentao Li
Junliang Yu
Linxin Guo
Hongzhi Yin
53
30
0
19 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems
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
76
47
0
21 Sep 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning
  Scenarios
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong
Qinming He
Jianhai Chen
FedML
69
41
0
26 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAML
FedML
52
57
0
01 Apr 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLM
CLIP
VPVLM
131
1,348
0
10 Mar 2022
Targeted Data Poisoning Attack on News Recommendation System by Content
  Perturbation
Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation
Xudong Zhang
Zan Wang
Jingke Zhao
Lanjun Wang
AAML
20
10
0
04 Mar 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
273
30,109
0
01 Mar 2022
PipAttack: Poisoning Federated Recommender Systems forManipulating Item
  Promotion
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang
Hongzhi Yin
Tong Chen
Zi Huang
Quoc Viet Hung Nguyen
Li-zhen Cui
FedML
AAML
67
96
0
21 Oct 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video
  Recommendation
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu
Qian Liu
Yu Tian
Changping Wang
Yanan Niu
Yang Song
Chenliang Li
86
53
0
28 Sep 2021
Ready for Emerging Threats to Recommender Systems? A Graph
  Convolution-based Generative Shilling Attack
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
54
35
0
22 Jul 2021
Denoising User-aware Memory Network for Recommendation
Denoising User-aware Memory Network for Recommendation
Zhiwei. Bian
Shaojun Zhou
Hao Xu
Qihong Yang
Zhenqi Sun
Junjie Tang
Guiquan Liu
Kaikui Liu
Xiaolong Li
HAI
AI4TS
83
36
0
12 Jul 2021
Learning Robust Recommenders through Cross-Model Agreement
Learning Robust Recommenders through Cross-Model Agreement
Yu Wang
Xin Xin
Zaiqiao Meng
Xiangnan He
J. Jose
Fuli Feng
41
51
0
20 May 2021
Revisiting Adversarially Learned Injection Attacks Against Recommender
  Systems
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
34
82
0
11 Aug 2020
Adversarial Attacks and Detection on Reinforcement Learning-Based
  Interactive Recommender Systems
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems
Yuanjiang Cao
Xiaocong Chen
Lina Yao
Xianzhi Wang
W. Zhang
AAML
36
43
0
14 Jun 2020
Practical Data Poisoning Attack against Next-Item Recommendation
Practical Data Poisoning Attack against Next-Item Recommendation
Hengtong Zhang
Yaliang Li
Bolin Ding
Jing Gao
AAML
38
74
0
07 Apr 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
298
1,989
0
02 Feb 2020
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Liang Chen
Yangjun Xu
Fenfang Xie
Min Huang
Zibin Zheng
AAML
42
34
0
01 Dec 2019
Recent Advances in Autoencoder-Based Representation Learning
Recent Advances in Autoencoder-Based Representation Learning
Michael Tschannen
Olivier Bachem
Mario Lucic
OOD
SSL
DRL
67
443
0
12 Dec 2018
A Brief Survey of Deep Reinforcement Learning
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran
M. Deisenroth
Miles Brundage
Anil Anthony Bharath
OffRL
120
2,812
0
19 Aug 2017
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
Bo Li
Yining Wang
Aarti Singh
Yevgeniy Vorobeychik
AAML
74
344
0
29 Aug 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
176
3,659
0
24 Jun 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
586
12,704
0
11 Dec 2014
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