4 papers
High-Precision APT Malware Attribution with Out-of-Scope Resilience
Peter Williams, Adam Sobey, Erisa Karafili
Early attribution of Advanced Persistent Threat (APT) activity can help defenders prioritise investigation, select countermeasures, and reduce the impact of an intrusion. Malware p…
Sharing is caring: data sharing in multi-agent supply chains
Wan Wang, Haiyan Wang, Adam Sobey
Modern supply networks are complex interconnected systems. Multi-agent models are increasingly explored to optimise their performance. Most research assumes agents will have full o…
It's Not You, It's Clipping: A Soft Trust-Region via Probability Smoothing for LLM RL
Madeleine Dwyer, Adam Sobey, Adriane Chapman
Training large language models (LLMs) with reinforcement learning (RL) methods such as PPO and GRPO commonly relies on ratio clipping to stabilise updates. While effective at preve…
Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale
Cody Kommers, Drew Hemment, Maria Antoniak +4
This position paper argues that large language models (LLMs) can make cultural context, and therefore human meaning, legible at an unprecedented scale in AI-based sociotechnical sy…