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chocolate gunmetal mermaid glass macrame bead braceletWohlttigkeit: 10 % des Nettoumsatzes werden an Take 3 gespendet Ausfhrung: Rotguss Perlen: Authentic Mermaid Glass Perlengre: 6 mm Kordel: verstellbares Nylon Makramee Basis: Edelstahl Die Mermaid Glass Makramee Perlenarmbnder sind handgefertigt aus 6 mm Perlen und werden von Hand auf eine verstellbare, gewebte Nylon Makramee Schnur aufgezogen. Die Mermaid Glass Armbnder sind in verschiedenen hypnotisierenden Farbtnen und mit einem Mittelstck in
Wohltätigkeit: 10 % des Nettoumsatzes werden an Take 3 gespendet
Ausführung: Rotguss
Perlen: Authentic Mermaid Glass™
Perlengröße: 6 mm
Kordel: verstellbares Nylon-Makramee
Basis: Edelstahl
Die Mermaid Glass™ Makramee-Perlenarmbänder sind handgefertigt aus 6-mm-Perlen und werden von Hand auf eine verstellbare, gewebte Nylon-Makramee-Schnur aufgezogen. Die Mermaid Glass™ Armbänder sind in verschiedenen hypnotisierenden Farbtönen und mit einem Mittelstück in Gunmetal-Optik erhältlich. Jedes Armband enthält eine passende Logoplatte aus Gunmetal-beschichtetem Edelstahl. Dank der verstellbaren Nylonschnur sind diese Armbänder in Einheitsgröße erhältlich.
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4.8 ★★★★★
Based on 25 reviews
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Product Reviews
★★★★★ 5
A good book for Cyber Professionals
Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
★★★★★ 5
In-depth and highly technical!
Format: Paperback
"Adversarial AI Attacks, Mitigations, and Defense Strategies" by John Sotiropoulos is a must-have resource for cybersecurity professionals navigating the complexities of AI security.
This book is an incredibly in-depth guide that tackles the intricate details of defending AI systems from adversarial attacks. It’s highly technical, making it an excellent choice for those with a solid background in cybersecurity, machine learning, and system administration. Sotiropoulos doesn’t shy away from the details, providing comprehensive code examples, system admin settings, and scripts that are invaluable for practical implementation.
One of the standout aspects of this book is its coverage of both predictive and generative AI. This dual focus ensures that readers are well-equipped to handle security challenges across different AI applications. Whether you're dealing with machine learning models in a predictive context or exploring the relatively newer field of generative AI, this book has you covered.
If you’re looking for a technical, hands-on approach to securing AI systems, this book is an essential addition to your library.
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Reviewed in the United States on August 12, 2024
★★★★★ 4
Good and thorough!
Format: Paperback
I was amazed to see a thick book arriving in the package and spent quite some time reading this. The book is so hands-on. I build agentic systems at work and going through these concepts felt good. My only complaint is that the code snippets are not up to date for which I had to edit my code several times.
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Reviewed in the United States on May 9, 2026
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
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Reviewed in the United States on October 18, 2024