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Artificial Intelligence
Data and Model Safety
Yu-Gang Jiang, Xingjun Ma, Zuxuan Wu
Livre broché | Anglais
381,95 €
+ 763 points
Description
Artificial Intelligence Data and Model Safety: Risks, Attacks and Defenses offers a comprehensive overview of the evolution of AI and its security concerns. The book delves into how historical advancements in AI have both bolstered and complicated the issue of safeguarding data and models. By reflecting on the interplay between machine learning innovations and vulnerabilities, it sets the stage for readers to understand the critical importance of robust defenses in this era of digital and algorithmic reliance. In addition to contextualizing the historical trajectory of AI security, the book examines foundational elements of machine learning, emphasizing the mechanisms that contribute to, or mitigate, risks. Readers are guided through case studies of real-world attacks, illustrating the practical implications of security weaknesses, while proposed defense strategies provide actionable insights for strengthening AI systems.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 386
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9780443248405
- Date de parution :
- 27-08-25
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 152 mm x 229 mm
- Poids :
- 725 g
Seulement chez Librairie Club
+ 763 points sur votre carte client de Librairie Club
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