AMLUCS 2023
Founded by: Dstl
Cyber Attribution Fingerprinting with Deep Learning
MontvieuxCritical Asset Cyber Terrain Identification (CACTI)
Riskaware Knowledge Graphs for Cybersecurity: Past, Present & Future
GoogleIntelligent Asset Parameterisation for Risk-based Moving Target Defence
University of WarwickDeep Reinforcement Learning and Genetic Algorithms
IllumrCO-DECYBER: Co-operative Decision Making for Cybersecurity
Cambridge ConsultantsExploring Reinforcement Learning algorithms in agents’ performances and resiliency in cybersecurity simulations context
University of LiverpoolAutonomous Resilient Cyber Defence using Multi-Agent Reinforcement Learning for Operational Technology applied to the Maritime Domain
BMT and ADSPAI for Cyber Defence (AICD) and the 3rd Cyber Autonomy Gym for Experimentation (CAGE) challenge
Alan Turing InstituteDevelopment of a Data Efficient Reinforcement Learning Tool for Cyber Security Defence
Decision LabBridging the Sim-to-Real Gap for AI and Machine Learning
QinetiQ and BMTTowards a Risk-Based Framework for the Evaluation of Action-Recommending Systems within Autonomous, Resilient Cyber Defence Capabilities
QinetiQThe challenge of “Responsible AI” in the military for autonomous resilient cyber defence research and application
CapGemini