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20232026
most citedEvasion Adversarial Attacks Remain Impractical Against ML-based Network Intrusion Detection Systems, Especially Dynamic Ones

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cs.LG2026

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?

Mohamed elShehaby, Ashraf Matrawy

Gradient-based adversarial attacks subtly manipulate inputs of Machine Learning (ML) models to induce incorrect predictions. This paper investigates whether careful architectural c…