A Deeper Analysis of Adversarial Examples in Intrusion Detection. - Mohamed Amine Merzouk; Frédéric Cuppens; Nora Boulahia-Cuppens; Reda Yaich (CRiSIS, 2020)

Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial Attacks. - Mohamed Amine Merzouk; Joséphine Delas; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens; Reda Yaich (ARES, 2022)

Investigating the practicality of adversarial evasion attacks on network intrusion detection. - Mohamed Amine Merzouk; Frédéric Cuppens; Nora Boulahia-Cuppens; Reda Yaich (Ann. des Télécommunications, 2022)

Parameterizing poisoning attacks in federated learning-based intrusion detection. - Mohamed Amine Merzouk; Frédéric Cuppens; Nora Boulahia-Cuppens; Reda Yaich (ARES, 2023)

Diffusion-based Adversarial Purification for Intrusion Detection. - Mohamed Amine Merzouk; Erwan Beurier; Reda Yaich; Nora Boulahia-Cuppens; Frédéric Cuppens (CoRR, 2024)

Adversarial robustness of deep reinforcement learning-based intrusion detection. - Mohamed Amine Merzouk; Christopher Neal; Joséphine Delas; Reda Yaich; Nora Boulahia-Cuppens; Frédéric Cuppens (Int. J. Inf. Sec., 2024)

Diffusion-Based Adversarial Purification for Intrusion Detection. - Mohamed Amine Merzouk; Erwan Beurier; Reda Yaich; Nora Boulahia-Cuppens; Frédéric Cuppens; Foutse Khomh (DBSec, 2025)