41 citations · 54 across the 10 of their papers we have counts for
Showing 2023Show all
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cs.CR2023★ 7 cited
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning
Chris Hicks, Vasilios Mavroudis, Myles Foley +3
Communication networks able to withstand hostile environments are critically important for disaster relief operations. In this paper, we consider a challenging scenario where drone…
cs.CR2023★ 4 cited
Inroads into Autonomous Network Defence using Explained Reinforcement Learning
Myles Foley, Mia Wang, Zoe M +2
Computer network defence is a complicated task that has necessitated a high degree of human involvement. However, with recent advancements in machine learning, fully autonomous net…
cs.CL2023
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models
Myles Foley, Ambrish Rawat, Taesung Lee +3
The wide applicability and adaptability of generative large language models (LLMs) has enabled their rapid adoption. While the pre-trained models can perform many tasks, such model…