Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

Dimitri Galli, Andrea Venturi, Dario Stabili +2

Graph Neural Networks (GNNs) represent a promising solution for Machine Learning (ML) based Network Intrusion Detection Systems (NIDS), thanks to their ability to leverage both net…