Analysis of Deep Learning Architectures and Efficacy of Detecting Forest Fires. - Ryan Marinelli (CoRR, 2022)

Causal Tracing to Identify Hacking Knowledge in Large Language Models. - Ryan Marinelli (IEEE Big Data, 2024)

Optimizing Deployment of Homomorphic Encryption and SQL using Reinforcement Learning. - Ryan Marinelli; Åvald Åslaugson Sommervoll; Laszlo Tibor Erdodi (IEEE Big Data, 2024)

Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. - Norbert Tihanyi; Tamás Bisztray; Richard A. Dubniczky; Rebeka Tóth; Bertalan Borsos; Bilel Cherif; Ridhi Jain; Lajos Muzsai; Mohamed Amine Ferrag; Ryan Marinelli; Lucas C. Cordeiro; Mérouane Debbah; et al. (IEEE Big Data, 2024)

Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. - Norbert Tihanyi; Tamás Bisztray; Richard A. Dubniczky; Rebeka Tóth; Bertalan Borsos; Bilel Cherif; Mohamed Amine Ferrag; Lajos Muzsai; Ridhi Jain; Ryan Marinelli; Lucas C. Cordeiro; Mérouane Debbah (CoRR, 2024)

Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection. - Ryan Marinelli; Josef Pichlmeier; Tamás Bisztray (CoRR, 2025)

Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models. - Ryan Marinelli; Magnus Eckhoff (CoRR, 2025)

Responsible Development of Offensive AI. - Ryan Marinelli (CoRR, 2025)