Artículo: AMZ-B0DB63622M

Securing Generative AI : Protecting Your AI Systems from Emerging Threats

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad
Sin stock
Peso con empaque
0.84 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
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USA

Sobre este producto
  • "Securing Generative AI: Protecting Your AI Systems from Emerging Threats" is an essential guide for anyone looking to understand and implement robust security measures in the rapidly evolving field of generative AI. This book provides a comprehensive overview of the fundamental principles, challenges, and best practices for securing AI systems, making it an indispensable resource for AI developers, cybersecurity professionals, and business leaders.Starting with an introduction to generative AI, the book covers the basics of what generative AI is, its historical development, key concepts, and diverse applications. It emphasizes the critical importance of security in AI, highlighting common threats and vulnerabilities, and providing real-world case studies of AI security breaches.The book delves into the fundamentals of AI security, discussing core security principles, risk management strategies, and regulatory considerations. It offers detailed insights into securing generative models like GANs, VAEs, and Transformers, addressing specific security challenges and techniques for safeguarding these models.Data security is a major focus, with chapters dedicated to ensuring data privacy and integrity, secure data collection and storage, and techniques for data anonymization and de-identification. It also covers secure practices for model training and deployment, including protecting against adversarial attacks and ensuring secure model deployment and monitoring.In the later sections, the book explores future trends in AI security, identifying emerging threats and solutions, and discussing advances in AI security technologies. It provides practical guides and case studies, offering real-world examples of securing generative AI, step-by-step security implementation guides, and lessons learned from AI security experts.Ethical and responsible AI use is also a key theme, with discussions on avoiding bias and discrimination, ensuring fair and transparent AI practices, and building a secure AI infrastructure.Whether you are new to AI security or looking to deepen your understanding, "Securing Generative AI equips you with the knowledge and tools needed to protect your AI systems from the latest security threats and challenges.

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