A Comparison of Biology-based Metaheuristics for Finding Piecewise Linear Approximations of Digitized Soundcurves. - Christopher Neal; Jonathan Mohr (GEM, 2009)

Notes on Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism. - Calin Anton; Christopher Neal (Canadian AI, 2010)

A Linked Data platform for mining software repositories. - Iman Keivanloo; Christopher Forbes; Aseel Hmood; Mostafa Erfani; Christopher Neal; George Peristerakis; Juergen Rilling (MSR, 2012)

Analyzing the Resiliency of Microgrid Control Algorithms Against Malicious Input. - Christopher Neal; Ranwa Al Mallah; José M. Fernandez 001; Andrea Lodi 001 (CCECE, 2020)

Reinforcement Learning Based Penetration Testing of a Microgrid Control Algorithm. - Christopher Neal; Hanane Dagdougui; Andrea Lodi 001; José M. Fernandez 001 (CCWC, 2021)

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)

Attacker Attribution via Characteristics Inference Using Honeypot Data. - Pierre Crochelet; Christopher Neal; Nora Boulahia-Cuppens; Frédéric Cuppens (NSS, 2022)

Ontology-Based Anomaly Detection for Air Traffic Control Systems. - Christopher Neal; Jean-Yves De Miceli; David Barrera 003; José Fernandez (CoRR, 2022)

Real-Time Defensive Strategy Selection via Deep Reinforcement Learning. - Axel Charpentier; Christopher Neal; Nora Boulahia-Cuppens; Frédéric Cuppens; Reda Yaich (ARES, 2023)

Unsupervised Clustering of Honeypot Attacks by Deep HTTP Packet Inspection. - Victor Aurora; Christopher Neal; Alexandre Proulx; Nora Boulahia-Cuppens; Frédéric Cuppens (FPS (1), 2023)

Automated Attacker Behaviour Classification Using Threat Intelligence Insights. - Pierre Crochelet; Christopher Neal; Nora Boulahia-Cuppens; Frédéric Cuppens; Alexandre Proulx (FPS (1), 2023)

Classifying Insider Threat Scenarios Through Explainable Articial Intelligence. - Rémi Grzeczkowicz; Christopher Neal; Neda Baghalizadeh-Moghadam; Nora Boulahia-Cuppens; Frédéric Cuppens (CRiSIS, 2024)

Optimal Automated Generation of Playbooks. - Kéren Saint-Hilaire; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens; Makhlouf Hadji (DBSec, 2024)

How to Better Fit Reinforcement Learning for Pentesting: A New Hierarchical Approach. - Marc-Antoine Faillon; Baptiste Bout; Julien Francq; Christopher Neal; Nora Boulahia-Cuppens; Frédéric Cuppens; Reda Yaich (ESORICS (4), 2024)

From Traits to Threats: Learning Risk Indicators of Malicious Insider Using Psychometric Data. - N'Famoussa Kounon Nanamou; Christopher Neal; Nora Boulahia-Cuppens; Frédéric Cuppens; Anis Bkakria (ICISS, 2024)

Matching Knowledge Graphs for Cybersecurity Countermeasures Selection. - Kéren Saint-Hilaire; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens; Makhlouf Hadji (SciSec, 2024)

NLP and Neural Networks for Insider Threat Detection. - Neda Baghalizadeh-Moghadam; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens (TrustCom, 2024)

Attack-Defense Graph Generation: Instantiating Incident Response Actions on Attack Graphs. - Kéren Saint-Hilaire; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens; Francesca Bassi (TrustCom, 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)

Federated Intrusion Detection System Based on Unsupervised Machine Learning. - Maxime Gourceyraud; Rim Ben Salem; Christopher Neal; Frédéric Cuppens; Nora Boulahia-Cuppens (CoRR, 2025)