3 papers
cs.CR2025
Guarding Against Malicious Biased Threats (GAMBiT): Experimental Design of Cognitive Sensors and Triggers with Behavioral Impact Analysis
Brandon Beltz, Po-Yu Chen, James Doty +16
This paper introduces GAMBiT (Guarding Against Malicious Biased Threats), a cognitive-informed cyber defense framework that leverages deviations from human rationality as a new def…
cs.CR2025
Guarding Against Malicious Biased Threats (GAMBiT) Experiments: Revealing Cognitive Bias in Human-Subjects Red-Team Cyber Range Operations
Brandon Beltz, Jim Doty, Yvonne Fonken +9
We present three large-scale human-subjects red-team cyber range datasets from the Guarding Against Malicious Biased Threats (GAMBiT) project. Across Experiments 1-3 (July 2024-Mar…
cs.CL2023
LLMs for Multi-Modal Knowledge Extraction and Analysis in Intelligence/Safety-Critical Applications
Brett Israelsen, Soumalya Sarkar
Large Language Models have seen rapid progress in capability in recent years; this progress has been accelerating and their capabilities, measured by various benchmarks, are beginn…