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

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cs.CR2026★ 1 cited

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…