Search Results for author:
Found 3 papers, 0 papers with code
A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only
In order to explore the backdoor vulnerability of GCNs and create a more practical and stealthy backdoor attack method, this paper proposes a clean-graph backdoor attack against GCNs (CBAG) in the node classification task, which only poisons the training labels without any modification to the training samples, revealing that GCNs have this security vulnerability.
A backdoor attack against link prediction tasks with graph neural networks
In this paper, we propose a backdoor attack against the link prediction tasks based on GNNs and reveal the existence of such security vulnerability in GNN models, which make the backdoored GNN models to incorrectly predict unlinked two nodes as having a link relationship when a trigger appear.
A Decision Making Framework for Recommended Maintenance of Road Segments
Due to limited budgets allocated for road maintenance projects in various countries, road management departments face difficulties in making scientific maintenance decisions.
