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

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

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…

cs.LG2024★ 3 cited

Robust Deep Reinforcement Learning Through Adversarial Attacks and Training : A Survey

Lucas Schott, Josephine Delas, Hatem Hajri +5

Deep Reinforcement Learning (DRL) is a subfield of machine learning for training autonomous agents that take sequential actions across complex environments. Despite its significant…