4 papers
Responsible Development of Offensive AI
Ryan Marinelli
As AI advances, broader consensus is needed to determine research priorities. This endeavor discusses offensive AI and provides guidance by leveraging Sustainable Development Goals…
Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models
Ryan Marinelli, Magnus Eckhoff
To effectively deploy Large Language Models (LLMs) in application-specific settings, fine-tuning techniques are applied to enhance performance on specialized tasks. This process of…
Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
Ryan Marinelli, Josef Pichlmeier, Tamas Bisztray
In this work, we propose a metric called Number of Thoughts (NofT) to determine the difficulty of tasks pre-prompting and support Large Language Models (LLMs) in production context…
Analysis of Deep Learning Architectures and Efficacy of Detecting Forest Fires
Ryan Marinelli
The aim of this research is to review the state of computer vision as applied to combatting forest fires. My motivation to research this topic comes from the urgency with which new…