arxiv
PublishedMay 16, 2026 at 4:00 AM
—neutral
Trapping Attacker in Dilemma: Examining Internal Correlations and External Influences of Trigger for Defending GNN Backdoors
Publisher summary· verbatim
arXiv:2605.08278v2 Announce Type: replace-cross Abstract: GNNs have become a standard tool for learning on relational data, yet they remain highly vulnerable to backdoor attacks. Prior defenses often depend on inspecting specific subgraph patterns or node features, and thus can be circumvented by ad
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivBringing Value Models Back: Generative Critics for Value Modeling in LLM Reinforcement Learning10harxivSubagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks10harxivDistribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts10harxivIn RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning10hThe Bubble Brief
WEEKLYRead graph-neural-networks insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗