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<em>ppAIsec</em>: Privacy-Preserving Artificial Intelligence Models in Healthcare Security—A Synthesis of AI Frameworks

2026-01-05

Abstract excerpt

As artificial intelligence (AI) technologies, particularly generative and collaborative learning models— are increasingly integrated into healthcare and other sensitive domains, data privacy, security, and fairness concerns have grown significantly. This paper focuses on a thorough examination of current privacy-preserving AI models, including federated learning (FL), differential privacy (DP), homomorphic encrypt...

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Literature Corpus work
a6bff8ba-d453-5d4b-a558-5c08cac64adf
DOI
10.20944/preprints202601.0250.v1
Open publication

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