2 papers
cs.LG2025
VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning
Yang Chen, Bin Zhou
Graph Neural Networks (GNNs) have gained attention for their ability to learn representations from graph data. Due to privacy concerns and conflicts of interest that prevent client…
cs.LG2024
AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
Yang Chen, Bin Zhou
Graph Neural Networks(GNNs) are vulnerable to adversarial attack that cause performance degradation by adding small perturbations to the graph. Gradient-based attacks are one of th…