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Charpentier, A., Neal, C., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (août 2023). Real-Time Defensive Strategy Selection via Deep Reinforcement Learning [Communication écrite]. 18th International Conference on Availability, Reliability and Security (ARES 2023), Benevento, Italy (11 pages). Lien externe
Crochelet, P., Neal, C., Boulahia Cuppens, N., & Cuppens, F. (décembre 2022). Attacker Attribution via Characteristics Inference Using Honeypot Data [Communication écrite]. 16th International Conference on Network and System Security (NSS 2022), Denarau Island, Fiji. Lien externe
Merzouk, M. A., Delas, J., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Yaich, R. (août 2022). Evading deep reinforcement learning-based network intrusion detection with adversarial attacks [Communication écrite]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (6 pages). Lien externe
Neal, C., Dagdougui, H., Lodi, A., & Fernandez, J. M. (janvier 2021). Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm [Communication écrite]. 11th IEEE Annual Computing and Communication Workshop and Conference (CCWC 2021), Nevada, USA. Lien externe
Neal, C., Al Mallah, R., Fernandez, J. M., & Lodi, A. (août 2020). Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input [Communication écrite]. 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2020), London, ON, Canada (6 pages). Lien externe
Neal, C. (2021). Methods for Assessing the Cybersecurity Posture of Critical Infrastructure via Testbed-Based Experimentation [Thèse de doctorat, Polytechnique Montréal]. Disponible
