Privacy and security for large language models: hands-on privacy-preserving techniques for personalized ai
Auteur :
Lin, Baihan
Éditeur :
O'Reilly Media
ISBN :
9781098160845
Date de publication :
30 janv. 2026
Dimensions :
23,2 x 17,8 cm
Langue :
Anglais
Pays d'origine :
USA
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.