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Finding Effective Security Strategies through Reinforcement Learning and Self-Play

17 September 2020

Papers citing "Finding Effective Security Strategies through Reinforcement Learning and Self-Play"

27 / 27 papers shown

Title
Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Emilia Rivas Sabrina Saika Ahtesham Bakht Aritran Piplai Nathaniel D. Bastian Ankit Shah AAML 15 0 0 06 Jun 2025
A Unified Modeling Framework for Automated Penetration Testing Yunfei Wang Shixuan Liu Wenhao Wang Changling Zhou Chao Zhang Jiandong Jin Cheng Zhu 86 2 0 17 Feb 2025
Entity-based Reinforcement Learning for Autonomous Cyber Defence Isaac Symes Thompson Alberto Caron Chris Hicks V. Mavroudis AAML 193 3 0 23 Oct 2024
Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games Kimiya Saadat Richard Zhao 74 0 0 22 Oct 2024
Elements of disinformation theory: cyber engagement via increasing adversary information consumption Travis Cuvelier Sean Ha Maretta Morovitz 28 0 0 18 Oct 2024
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection Wanrong Yang Alberto Acuto Yihang Zhou Dominik Wojtczak OffRL 110 3 0 25 Sep 2024
Optimal Defender Strategies for CAGE-2 using Causal Modeling and Tree Search K. Hammar Neil Dhir Rolf Stadler 62 3 0 12 Jul 2024
Structural Generalization in Autonomous Cyber Incident Response with Message-Passing Neural Networks and Reinforcement Learning Jakob Nyberg Pontus Johnson 70 1 0 08 Jul 2024
Competing for pixels: a self-play algorithm for weakly-supervised segmentation Shaheer U. Saeed Shiqi Huang João Ramalhinho Iani J. M. B. Gayo Nina Montaña-Brown ... Stephen P. Pereira Brian R. Davidson D. Barratt Matthew J. Clarkson Yipeng Hu 107 0 0 26 May 2024
The Path To Autonomous Cyber Defense Sean Oesch Phillipe Austria Amul Chaulagain Brian Weber Cory L. Watson Matthew Dixson Amir Sadovnik AAML 67 0 0 12 Apr 2024
Intrusion Tolerance for Networked Systems through Two-Level Feedback Control K. Hammar Rolf Stadler 58 1 0 02 Apr 2024
Automated Security Response through Online Learning with Adaptive Conjectures K. Hammar Tao Li Rolf Stadler Quanyan Zhu 72 5 0 19 Feb 2024
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning Chris Hicks V. Mavroudis Myles Foley Thomas Davies Kate Highnam Tim Watson 59 7 0 08 Dec 2023
Scalable Learning of Intrusion Responses through Recursive Decomposition K. Hammar Rolf Stadler 46 8 0 06 Sep 2023
Learning Cyber Defence Tactics from Scratch with Multi-Agent Reinforcement Learning Jacob Wiebe Ranwa Al Mallah Li Li AAML 52 4 0 25 Aug 2023
Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments M. Rigaki Ondrej Lukás C. Catania Sebastian Garcia LLMAG 63 12 0 23 Aug 2023
NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios Jaromír Janisch Tomávs Pevný Viliam Lisý 78 19 0 26 May 2023
Automated Cyber Defence: A Review Sanyam Vyas J. Hannay A. Bolton Pete Burnap 82 22 0 08 Mar 2023
Catch Me If You Can: Improving Adversaries in Cyber-Security With Q-Learning Algorithms Arti Bandhana Ondrej Lukás Sebastian Garcia T. Kroupa AAML 14 2 0 07 Feb 2023
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers K. Hammar Rolf Stadler AAML 57 13 0 11 Jan 2023
Beyond CAGE: Investigating Generalization of Learned Autonomous Network Defense Policies M. Wolk A. Applebaum Camron Dennler P. Dwyer M. Moskowitz ... N. Nichols Nicole Park Paul Rachwalski Frank Rau A. Webster OffRL AAML 90 18 0 28 Nov 2022
Learning Security Strategies through Game Play and Optimal Stopping K. Hammar Rolf Stadler AAML 78 10 0 29 May 2022
A System for Interactive Examination of Learned Security Policies K. Hammar Rolf Stadler 68 5 0 03 Apr 2022
Intrusion Prevention through Optimal Stopping K. Hammar Rolf Stadler 145 22 0 30 Oct 2021
Learning Intrusion Prevention Policies through Optimal Stopping K. Hammar Rolf Stadler 93 22 0 14 Jun 2021
Prospective Artificial Intelligence Approaches for Active Cyber Defence Neil Dhir H. Hoeltgebaum N. Adams M. Briers A. Burke Paul Jones AAML 74 28 0 20 Apr 2021
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker Matej Moravcík Martin Schmid Neil Burch Viliam Lisý Dustin Morrill Nolan Bard Trevor Davis Kevin Waugh Michael Bradley Johanson Michael Bowling BDL 261 913 0 06 Jan 2017