Dustin D. Updyke
Software Engineering Institute
Observational Human–AI (OHAI): A Defender Attribution Framework for Distinguishing Human vs. AI Threats
• White Paper
Self-Assessment in Training and Exercise
• SEI Report
By Dustin D. Updyke , Thomas G. Podnar , John Yarger , Sean Huff
Observational Human–AI (OHAI): A Defender Attribution Framework for Distinguishing Human vs. AI Threats
• White Paper
Self-Assessment in Training and Exercise
• SEI Report
By Dustin D. Updyke , Thomas G. Podnar , John Yarger , Sean Huff
Using Machine Learning to Increase NPC Fidelity
• SEI Report
By Dustin D. Updyke , Thomas G. Podnar , Geoffrey B. Dobson , John Yarger
Foundation of Cyber Ranges
• SEI Report
By Thomas G. Podnar , Geoffrey B. Dobson , Dustin D. Updyke , Bill Reed
Using Machine Learning to Increase the Fidelity of Non-Player Characters in Training Simulations
• Blog Post
By Dustin D. Updyke , Thomas G. Podnar , Geoffrey B. Dobson , John Yarger
