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Found 3 papers, 1 papers with code
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
Machine Learning (ML) algorithms have become increasingly popular for supporting Network Intrusion Detection Systems (NIDS).
Exploring the consequences of cyber attacks on Powertrain Cyber Physical Systems
This paper proposes a novel approach for the study of cyber-attacks against the powertrain of a generic vehicle.
Hardening Random Forest Cyber Detectors Against Adversarial Attacks
The experimental results on millions of labelled network flows show that the new detector has a twofold value: it outperforms state-of-the-art detectors that are subject to adversarial attacks; it exhibits robust results both in adversarial and non-adversarial scenarios.
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