![]() | Up a level |
Charpentier, A., Boulahia Cuppens, N., Cuppens, F., & Yaich, R. (2022, August). Deep reinforcement learning-based defense strategy selection [Paper]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (11 pages). External link
Merzouk, M. A., Delas, J., Neal, C., Cuppens, F., Boulahia Cuppens, N., & Yaich, R. (2022, August). Evading deep reinforcement learning-based network intrusion detection with adversarial attacks [Paper]. 17th International Conference on Availability, Reliability and Security (ARES 2022), Vienna, Austria (6 pages). External link
Merzouk, M. A., Cuppens, F., Boulahia Cuppens, N., & Yaich, R. (2022). Investigating the practicality of adversarial evasion attacks on network intrusion detection. External link
Merzouk, M. A., Cuppens, F., Boulahia Cuppens, N., & Yaich, R. (2020, November). A Deeper Analysis of Adversarial Examples in Intrusion Detection [Paper]. 15th International Conference on Risks and Security of Internet and Systems (CRISIS 2020), Paris, France. External link
Yaich, R., Boulahia Cuppens, N., & Cuppens, F. (2017, August). Enabling Trust Assessment in Clouds-of-Clouds: A Similarity-Based Approach [Paper]. 12th International Conference on Availability, Reliability and Security (ARES 2017), Reggio, Calabria, Italy. External link