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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…
cond-mat.mtrl-sci2026
SC-1 Etching of Niobium and Titanium Nitride Thin Films
Adrián Gutiérrez-Cruz, K. A. C. Rathnathilaka, Jani M. Taskinen +6
Dry etching techniques, ubiquitous in microelectronics fabrication, often result in challenging levels of undesired collateral plasma-induced damage. In this work, we demonstrate a…