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Investigating the practicality of adversarial evasion attacks on network intrusion detectionAnnals of Telecommunications - annales des télécommunications, 2022, 77 (11-12), pp.763-775. ⟨10.1007/s12243-022-00910-1⟩
Journal articles
hal-04025134v1
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Deep Reinforcement Learning-Based Defense Strategy SelectionARES 2022: The 17th International Conference on Availability, Reliability and Security, Aug 2022, Vienna, Austria. pp.1-11, ⟨10.1145/3538969.3543789⟩
Conference papers
hal-04025166v1
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Resilience properties and metrics: how far have we gone?Journal of Surveillance, Security and Safety, 2020, ⟨10.20517/jsss.2020.08⟩
Journal articles
hal-03626714v1
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A Deeper Analysis of Adversarial Examples in Intrusion DetectionRisks and Security of Internet and Systems, 12528, Springer International Publishing, pp.67-84, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-68887-5_4⟩
Book sections
hal-03550356v1
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Evading Deep Reinforcement Learning-based Network Intrusion Detection with Adversarial AttacksARES 2022: The 17th International Conference on Availability, Reliability and Security, Aug 2022, Vienna, Austria. pp.1-6, ⟨10.1145/3538969.3539006⟩
Conference papers
hal-04025173v1
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