Privacy-Preserving Techniques in Generative AI and Large Language Models: A Narrative Review

Privacy-Preserving Techniques in Generative AI and Large Language Models: A Narrative Review

Generative AI, including large language models (LLMs), has transformed the paradigm of data generation and creative content, but this progress raises critical privacy concerns, especially when models are trained on sensitive data. This review provides a comprehensive overview of privacy-preserving t...

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Bibliographic Details
Main Authors: Georgios Feretzakis, Konstantinos Papaspyridis, Aris Gkoulalas-Divanis, Vassilios S. Verykios
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
privacy-preserving techniques
generative AI
large language models (LLMs)
differential privacy
federated learning
homomorphic encryption
Online Access:https://www.mdpi.com/2078-2489/15/11/697
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