Protecting AI From Training Data Contamination

20260 citationsJournal Article

Authors

Doron Drusinsky · Naval Postgraduate School

James Bret Michael · Naval Postgraduate School

Abstract

With the advent of generative artificial intelligence (GAI) there is risk that training data for GAI can become contaminated, resulting in skewing of GAI output. We propose a cryptocurrency verification network to armor-plate GAI against external contamination.

Topics & Keywords

Adversarial Robustness in Machine Learning Explainable Artificial Intelligence (XAI)Digital and Cyber Forensics

Publication Details

Published in: Computer

Volume 59, Issue 4, pp. 145-155

DOI: 10.1109/mc.2026.3658181

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Protecting AI From Training Data Contamination

Authors

Abstract

Topics & Keywords

Publication Details