Adversarial Camouflage for Node Injection Attack on Graphs. (arXiv:2208.01819v2 [cs.LG] UPDATED)

Node injection attacks against Graph Neural Networks (GNNs) have received
emerging attention as a practical attack scenario, where the attacker injects
malicious nodes instead of modifying node features or edges to degrade the
performance of GNNs. Despite the initial success of node injection attacks, we
find that the injected nodes by existing methods are easy to be distinguished
from the original normal nodes by defense methods and limiting their attack
performance in practice. To solve the above issues, we devote …

adversarial attack injection node