Author

Zhen Wang

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Conference Open access Sep 2026

Collateral Damage Constrained Backdoor Attacks on Graph Neural Networks

The proposed Collateral Damage Constrained Graph Backdoor Attack (CDCA) combines neighborhood-aware target node selection with a self-constrained trigger generation strategy to suppress trigger-induced propagation by enforcing prediction consistency on clean K -hop neighboring nodes.

Di Jin, Ze-Chuan Zhang, Bing-Dao Feng et al. · Proceedings of the Thirty-Fi... · 0 citations

2025

LoSplit: Loss-Guided Dynamic Split for Training-Time Defense Against Graph Backdoor Attacks

LoSplit is proposed, the first training-time defense framework in graph that leverages this early-stage loss drift to accurately split target nodes, and dynamically selects epochs with maximal loss divergence, clusters target nodes via Gaussian Mixture Models, and applies a Decoupling-Forgetting strategy to break the a...

Di Jin, Yuxiang Zhang, Bingdao Feng et al. · Neural Information Processin... · 4 citations