most citedRobust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

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cs.CR2024

Diffusion-based Adversarial Purification for Intrusion Detection

Mohamed Amine Merzouk, Erwan Beurier, Reda Yaich +2

The escalating sophistication of cyberattacks has encouraged the integration of machine learning techniques in intrusion detection systems, but the rise of adversarial examples pre…