Link Stealing Attacks Against Inductive Graph Neural Networks

arXiv:2405.05784v1 Announce Type: new
Abstract: A graph neural network (GNN) is a type of neural network that is specifically designed to process graph-structured data. Typically, GNNs can be implemented in two settings, including the transductive setting and the inductive setting. In the transductive setting, the trained model can only predict the labels of nodes that were observed at the training time. In the inductive setting, the trained model can be generalized to new nodes/graphs. Due to its flexibility, the inductive …

arxiv attacks can cs.cr cs.lg data graph link network networks neural network neural networks predict process settings stealing structured data