Dr. Zach Kurtz is an SEI alumni employee.
Dr. Zach Kurtz is a data scientist with experience on projects in fields as diverse as cybersecurity, public transit, psychology, marketing analytics, ecology, medicine, human rights, and international capital flows. Kurtz’s dissertation built on capture-recapture theory to introduce a new method for estimating the sizes of partially observed populations. At the SEI, Kurtz has developed new evaluation methodologies for open-ended cyber warning competitions, built text-based classifiers, and designed cyber incident data visualization tools.
Publications by Zachary Kurtz
Deepfakes—What Can Really Be Done Today?
August 27, 2019 • Video
Rotem D. GuttmanZachary Kurtz
Rotem Guttman and Zach Kurtz explain what deepfakes are, how they work, and what kind of content it's possible to create with current techniques and technology.watch
Automatically Detecting Technical Debt Discussions
June 24, 2019 • White Paper
Ipek OzkayaZachary KurtzRobert Nord
This study introduces (1) a dataset of expert labels of technical debt in developer comments and (2) a classifier trained on those labels.read
Integration of Automated Static Analysis Alert Classification and Prioritization with Auditing Tools: Special Focus on SCALe
May 13, 2019 • Technical Report
Lori FlynnEbonie McNeilDavid Svoboda
This report summarizes progress and plans for developing a system to perform automated classification and advanced prioritization of static analysis alerts.read
Using Test Suites for Static Analysis Alert Classifiers
September 20, 2018 • Podcast
Lori FlynnZachary Kurtz
CERT researchers Lori Flynn and Zach Kurtz discuss ongoing research using test suites as a source of labeled training data to create classifiers for static analysis alerts.learn more