T Oesch Cybersecurity Researcher Contact OESCHTS@ORNL.GOV All Publications Towards a High Fidelity Training Environment for Autonomous Cyber Defense Agents AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors Testing SOAR Tools in Use Beyond the Hype: An Evaluation of Commercially Available Machine-Learning-Based Malware Detectors Systematization of Password Manager Use Cases and Design Paradigms D2U: Data Driven User Emulation for the Enhancement of Cyber Testing, Training, and Data Set Generation... What Clinical Trials Can Teach Us About the Development of More Resilient AI for Cybersecurity An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center An Integrated Platform for Collaborative Data Analytics Integrating Overhead Camera Imagery with Reinforcement Learning to Improve Fuel Economy Through Adaptive Traffic Control... Estimating vehicle fuel economy from overhead camera imagery and application for traffic control... Reinforcement Learning-based Traffic Control to Optimize Energy Usage and Throughput (CRADA report) Key Links Organizations National Security Sciences Directorate Cyber Resilience and Intelligence Division Advanced Intelligent Systems Section Emerging Cyber Technologies Research
