Compensation as defense: Trusted user guided representation correction learning for poisoned GNN-based recommender systems.
Zeyu Tan|Mengmeng Sun|Mingyang Qi|Zhen Chen
| Anthology ID: | DBLP:journals/ipm/TanSQC26 |
|---|---|
| Year: | 2026 |
| Venue: | Information Processing and Management |
| Pages: | 104464 |
| URL: | https://doi.org/10.1016/J.IPM.2025.104464 |
| DOI: | https://doi.org/10.1016/J.IPM.2025.104464 |
| DBLP: | journals/ipm/TanSQC26 |
| BibTeX: |
@article{tan-2026-compensation,
author = {Zeyu Tan and
Mengmeng Sun and
Mingyang Qi and
Zhen Chen},
title = {{Compensation as defense: Trusted user guided representation correction learning for poisoned GNN-based recommender systems}},
journal = {Information Processing and Management},
volume = {63},
number = {2},
pages = {104464},
year = {2026},
url = {https://doi.org/10.1016/J.IPM.2025.104464},
doi = {https://doi.org/10.1016/J.IPM.2025.104464}
}