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Welcome to the fourth annual Cybersecurity Across Disciplines (CyAD) Summit hosted by the National Cybersecurity Training & Education Center (NCyTE)! 
  • The schedule is tentative and subject to change. Please check back regularly for the most current version.
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  • All sessions are first-come, first-served. While you can plan your schedule in Sched, it does not guarantee a seat in any session.



Thursday June 25, 2026 2:45pm - 3:30pm CDT
Artificial intelligence (AI) systems increasingly depend on complex supply chains that include externally sourced datasets, pretrained model checkpoints, fine-tuning pipelines, and automated feedback mechanisms. This layered dependency structure exposes AI systems to supply chain vulnerabilities that differ fundamentally from those in traditional software engineering. This work demonstrates that AI is not an exception to supply chain risk; rather, it amplifies such vulnerabilities through its reliance on data-driven learning. Using a backdoor poisoning attack on the EMNIST dataset—an expanded 2017 successor to the original MNIST benchmark—the study shows how a small, automated manipulation of upstream training data can implant persistent, targeted misbehavior in a downstream model without altering code, architecture, or infrastructure. Empirical evaluation, including clean versus triggered confusion matrices and visual inspection, reveals the stealth, effectiveness, and reproducibility of the attack. The findings underscore the need for rigorous provenance tracking, auditing, and adversarial evaluation frameworks to secure AI supply chains, particularly as AI becomes embedded in emerging technologies and autonomous systems.
Speakers
avatar for George Meghabghab

George Meghabghab

Professor/Director of IT Cyber Security, Roane State CC
Computer Science/Computer Information Technology Educator with over 30 years of teaching and training in IT, Cyber defense, information assurance, and digital forensics. He taught as a tenured professor until 1999 at Valdosta State University in the Math and Computer Science Department... Read More →
Thursday June 25, 2026 2:45pm - 3:30pm CDT
BLDG T-924

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