As artificial intelligence becomes woven into everyday life, UF researchers are working to make sure the technology learns safely. A new paper from the University of Florida and Visa Research introduces a training method designed to prevent AI models from memorizing sensitive information — a growing privacy risk in modern machine learning systems.
The work, titled “Deep Learning with Plausible Deniability,” was showcased in early December at NeurIPS 2025, one of the world’s most prestigious AI conferences. The paper is led by UF Ph.D. student Wenxuan Bao and UF associate professor Vincent Bindschaedler, Ph.D., in collaboration with Visa Research.
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