---
title: "Baihan Lin Privacy and Security for Large Language Models"
ean: "9781098160845"
brand: "Baihan Lin"
category: "Medier > Bøger"
price_min: 669
price_max: 669
currency: DKK
vendor_count: 1
in_stock: true
url: https://pricetracker.dk/p/9781098160845/privacy-and-security-for-large-language-models
last_checked: 2026-10-15
---

# Baihan Lin Privacy and Security for Large Language Models

EAN 9781098160845 · Mærke: Baihan Lin · Kategori: Medier > Bøger

Sammenlign priser på Baihan Lin Privacy and Security for Large Language Models fra 1 forhandler. Billigste pris nu: 669 kr hos Saxo DK. Se aktuelle priser og køb hos den billigste forhandler på https://pricetracker.dk/p/9781098160845/privacy-and-security-for-large-language-models

## Priser
- **Billigste pris nu:** 669 kr hos Saxo DK
- **Prisspænd:** 669 kr – 669 kr på tværs af 1 forhandler

## Forhandlere
| Forhandler | Pris | Levering |
|---|---|---|
| Saxo DK | 669 kr | — |

## Om produktet
Beskrivelse fra forhandleren Saxo DK:

> 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. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions.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. With its hands-on code examples, real-world case studies, and robust fine-tuning methodologies in domain-specific applications, this book is a vital resource for developing secure, ethical, and personalized AI solutions in today's privacy-conscious landscape. By reading this book, you'll: Discover privacy-preserving techniques for LLMs Learn secure fine-tuning methodologies for personalizing LLMs Understand secure deployment strategies and protection against attacks Explore ethical considerations like bias and transparency Gain insights from real-world case studies across healthcare, finance, and more

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Priserne er sidst kontrolleret 2026-10-15.