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Privacy and Security for Large Language Models Hands-On Privacy-Preserving Techniques for Personalized AI | 3.78 MB
Title: Privacy and Security for Large Language Models (for . .)
Author: Baihan Lan
Category: Nonfiction, Computers, Advanced Computing, Natural Language Processing, Internet, Security, Business & Finance, Industries & Professions, Industries
Language: English | 318 Pages | ISBN: 9781098160814
Description:
As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifically to LLMs.
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