Artículo: AMZ-B0DJCLZX4T

Privacy-Preserving Engineering: Techniques and Technologies in Software Development

Format:

Kindle

Paperback

Detalles del producto

Disponibilidad
Sin stock

Peso con empaque
0.84 kg

Devolución
No

Condición
Nuevo

Producto de
Amazon

Viaja desde
USA

Sobre este producto

"Privacy-Preserving Engineering: Techniques and Technologies in Software Development" is an indispensable guide for developers, privacy advocates, and students navigating the intricate landscape of digital privacy. This timely book provides an in-depth exploration of the principles, methodologies, and practical applications of privacy-preserving technologies. From the basics of cryptography to the forefront of homomorphic encryption and zero-knowledge proofs, readers will gain the expertise needed to implement robust privacy measures in their software development projects. Featuring detailed discussions on contemporary challenges and future directions, the book offers valuable insights into maintaining privacy without compromising functionality. Whether you aim to deepen your understanding of differential privacy, explore blockchain's potential in privacy protection, or apply privacy-preserving techniques in machine learning, this book serves as your essential resource. Equip yourself with the tools and knowledge required to meet the demands of secure and private software development in today’s digital era.

Sin stock

Seleccione otra opción o busque otro producto.

Este producto viaja de USA

a tus manos en

Medios de pago

Privacy-Preserving Engineering: Techniques and Technologies in Software Development

Regulating Digital Industries

Balancing Privacy and Free Speech (Routledge Research in Information Technology and E-Commerce Law)

Privacy-preserving Computing: for Big Data Analytics and AI

Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

Privacy-Preserving Machine Learning

Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI

AI Governance: Secure, privacy-preserving, ethical systems

AltumView Sentinare Fall Detection & Activity Sensor, Privacy-Preserving Videoless Stick Figure View, Action Statistics, Medical Alert

Practical Data Privacy: Enhancing Privacy and Security in Data

Enabling Secure and Privacy Preserving Communications in Smart Grids (SpringerBriefs in Computer Science)

Building Production LLM Systems: The Practitioner's Guide to Open-Source AI: Design, Deploy, and Fine-Tune LLaMA, Mistral, and Self-Hosted Language Models for Scalable, Privacy-Preserving Enterprise

Protecting Your Privacy in a Data-Driven World (ASA-CRC Series on Statistical Reasoning in Science and Society)

Synthetic-Data Engineering Privacy-First Data Lakes for ML Without Real Users

Privacy Enhancing Techniques: Practices and Applications

Información útil

Centro de ayuda

Todo en un solo lugar

Comprá con tranquilidad

Privacy-Preserving Engineering: Techniques and Technologies in Software Development

Productos Relacionados

Regulating Digital Industries

Balancing Privacy and Free Speech (Routledge Research in Information Technology and E-Commerce Law)

Otros Productos

Privacy-preserving Computing: for Big Data Analytics and AI

Privacy-Preserving Machine Learning: A use-case-driven approach to building and protecting ML pipelines from privacy and security threats

Privacy-Preserving Machine Learning

Privacy and Security for Large Language Models: Hands-On Privacy-Preserving Techniques for Personalized AI

AI Governance: Secure, privacy-preserving, ethical systems

AltumView Sentinare Fall Detection & Activity Sensor, Privacy-Preserving Videoless Stick Figure View, Action Statistics, Medical Alert

Practical Data Privacy: Enhancing Privacy and Security in Data

Enabling Secure and Privacy Preserving Communications in Smart Grids (SpringerBriefs in Computer Science)

Building Production LLM Systems: The Practitioner's Guide to Open-Source AI: Design, Deploy, and Fine-Tune LLaMA, Mistral, and Self-Hosted Language Models for Scalable, Privacy-Preserving Enterprise

Protecting Your Privacy in a Data-Driven World (ASA-CRC Series on Statistical Reasoning in Science and Society)

Synthetic-Data Engineering Privacy-First Data Lakes for ML Without Real Users

Privacy Enhancing Techniques: Practices and Applications

Compra protegida

¿Cómo comprar?

Información de Aduanas Ecuador

Garantía de entrega

¿Cómo solicitar una devolución?

Los productos sin devolución son:

Tarjetas de Débito y Crédito

Pagos a través de PayPal

¿Cómo comprar?

Hacemos todo por ti

Tarjetas de Débito, Crédito y Deuna

Pagos a través de Deuna

Pagos a través de PayPal

Garantía de entrega

Compra como si vivieras fuera, pero desde cualquier lugar de Ecuador