1 citations · 1 across the 1 of their papers we have counts for
2 papers
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…
cs.CR2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Andrea Venturi, Dario Stabili, Mirco Marchetti
Machine Learning (ML) algorithms have become increasingly popular for supporting Network Intrusion Detection Systems (NIDS). Nevertheless, extensive research has shown their vulner…