PNNL

Loc Truong is a data scientist in the Artificial Intelligence & Data Analytics Division at Pacific Northwest National Laboratory. He focuses on developing advanced AI solutions to protect critical cyber infrastructure from sophisticated attacks and ensure AI systems remain secure. In addition to his cybersecurity work, Truong helps build AI systems for remote sensing, border security, and adversarial AI defenses. One of the AI models he developed is currently deployed at multiple ports across the nation for threat detection and analysis. Truong also collaborates closely with colleagues to ensure the tools and models he develops meet the needs of both researchers and real-world users.   

• AI
• Machine learning
• Deep learning 
• Computer vision 

• Master of Science, Computer Science, Western Washington University
• Bachelor of Science, Computer Science, Western Washington University

2020

• Truong, L. T., and A. R. Tuor. 2020. “Classes Within Classes: Natural Subclusters Within Datasets.” Pacific Northwest National Laboratory, Richland, Washington. PNNL-SA-155332.
• Truong, L. T., B. J. Hutchinson, N. M. Nichols, R. J. Jasper, B. L. Praggastis, A. August, and C. A. Jones, et al. 2020. “Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers.” In the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 16, 2020, Virtual, United States. PNNL-SA-153411.