ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.02644
  4. Cited By
Data Poisoning Attacks to Deep Learning Based Recommender Systems

Data Poisoning Attacks to Deep Learning Based Recommender Systems

7 January 2021
Hai Huang
Jiaming Mu
Neil Zhenqiang Gong
Qi Li
Bin Liu
Mingwei Xu
    AAML
ArXivPDFHTML

Papers citing "Data Poisoning Attacks to Deep Learning Based Recommender Systems"

15 / 15 papers shown
Title
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems
Shiyi Yang
Zhibo Hu
Chen Wang
Tong Yu
Xiwei Xu
Liming Zhu
Lina Yao
AAML
42
0
0
31 Mar 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
J. Zhang
Huan Li
Dazhong Rong
Yan Zhao
Ke Chen
Lidan Shou
AAML
80
4
0
18 Feb 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
89
3
0
17 Jan 2025
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
25
1
0
27 Apr 2024
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
Jinyuan Jia
Yupei Liu
Yuepeng Hu
Neil Zhenqiang Gong
29
13
0
26 Mar 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
31
75
0
29 Dec 2022
A Survey on Federated Recommendation Systems
A Survey on Federated Recommendation Systems
Zehua Sun
Yonghui Xu
Yong-Jin Liu
Weiliang He
Lanju Kong
Fangzhao Wu
Y. Jiang
Li-zhen Cui
FedML
32
60
0
27 Dec 2022
Robust Offline Reinforcement Learning with Gradient Penalty and
  Constraint Relaxation
Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation
Chengqian Gao
Kelvin Xu
Liu Liu
Deheng Ye
P. Zhao
Zhiqiang Xu
OffRL
45
2
0
19 Oct 2022
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning
Yacine Belal
A. Bellet
Sonia Ben Mokhtar
Vlad Nitu
21
10
0
09 Aug 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in
  Contrastive Learning
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
33
34
0
13 May 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
27
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
24
57
0
01 Apr 2022
Being Properly Improper
Being Properly Improper
Tyler Sypherd
Richard Nock
Lalitha Sankar
FaML
39
10
0
18 Jun 2021
Hidden Backdoors in Human-Centric Language Models
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li
Hui Liu
Tian Dong
Benjamin Zi Hao Zhao
Minhui Xue
Haojin Zhu
Jialiang Lu
SILM
35
147
0
01 May 2021
Certified Robustness of Nearest Neighbors against Data Poisoning and
  Backdoor Attacks
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks
Jinyuan Jia
Yupei Liu
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
40
73
0
07 Dec 2020
1