3 papers
cs.AI2026
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
Samuel Hildebrand, Curtis Taylor, Sean Oesch +5
Retrieval-augmented generation (RAG) has emerged as a promising paradigm for improving factual accuracy in large language models (LLMs). We introduce a benchmark designed to evalua…
cs.CR2024
On the Abuse and Detection of Polyglot Files
Luke Koch, Sean Oesch, Amul Chaulagain +8
A polyglot is a file that is valid in two or more formats. Polyglot files pose a problem for malware detection systems that route files to format-specific detectors/signatures, as…
cs.CR2024
The Path To Autonomous Cyber Defense
Sean Oesch, Phillipe Austria, Amul Chaulagain +4
Defenders are overwhelmed by the number and scale of attacks against their networks.This problem will only be exacerbated as attackers leverage artificial intelligence to automate…