Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation

25 July 2022

Papers citing "Developing Optimal Causal Cyber-Defence Agents via Cyber Security Simulation"

8 / 8 papers shown

Title
Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents Diksha Goel Kristen Moore Jeff Wang Minjune Kim Thanh Thi Nguyen AAML 12 0 0 16 May 2025
Less is more? Rewards in RL for Cyber Defence Elizabeth Bates Chris Hicks V. Mavroudis OffRL 45 0 0 05 Mar 2025
Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence Ross O'Driscoll Claudia Hagen Joe Bater James M. Adams AAML AI4CE 66 0 0 26 Nov 2024
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 56 3 0 23 Oct 2024
Adaptive Experimental Design for Intrusion Data Collection Kate Highnam Zach Hanif Ellie Van Vogt Sonali Parbhoo Sergio Maffeis Nicholas R. Jennings AAML 17 1 0 20 Oct 2023
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios Jaromír Janisch Tomávs Pevný Viliam Lisý 23 13 0 26 May 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers K. Hammar Rolf Stadler AAML 32 12 0 11 Jan 2023
Prospective Artificial Intelligence Approaches for Active Cyber Defence Neil Dhir H. Hoeltgebaum N. Adams M. Briers A. Burke Paul Jones AAML 36 25 0 20 Apr 2021