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charcoal sterling silver cheshire glass stretch braceletAusfhrung: 18 Karat Weigold Perlen: Anthrazitfarbenes Cheshire Glas Perlengre: 8 mm Kordel: Transparentes Gummiband Kabelgre: 7,8" Umfang Basis: 925er Sterlingsilber Die Cheshire Glass Armbnder aus 925er Sterlingsilber sind handgefertigt aus 8 mm groen Cheshire Glass Perlen, die von Hand auf eine klare, dehnbare elastische Kordel gezogen werden. Die Cheshire Glass Armbnder sind in verschiedenen Ausfhrungen erhltlich. Hypnotische, farbenfrohe Perlen,
Ausführung: 18 Karat Weißgold
Perlen: Anthrazitfarbenes Cheshire-Glas
Perlengröße: 8 mm
Kordel: Transparentes Gummiband
Kabelgröße: 7,8" Umfang
Basis: 925er Sterlingsilber
Die Cheshire Glass Armbänder aus 925er Sterlingsilber sind handgefertigt aus 8 mm großen Cheshire Glass Perlen, die von Hand auf eine klare, dehnbare elastische Kordel gezogen werden. Die Cheshire Glass Armbänder sind in verschiedenen Ausführungen erhältlich. Hypnotische, farbenfrohe Perlen, ein Mittelstück aus Sterlingsilber mit Weißgold-Finish und ein passender Logo-Anhänger. Dank des dehnbaren, transparenten Gummibands sind die Armbänder in Einheitsgröße erhältlich.
Inspiriert von der überirdischen und fantastischen Figur aus Lewis Carrolls Alice im Wunderland, bildet unser Cheshire-Glas auf wundersame Weise dessen allgegenwärtige Streifen mit einem geradezu magischen Katzenaugeneffekt nach. Die aus echtem Glas gefertigten Armbänder verströmen einen atemberaubenden Chatoyancy-Effekt, da Lichtstreifen von einer Reihe dünner, parallel zueinander angeordneter Einschlüsse reflektiert werden. Bewegt sich das Licht oder der Blick des Betrachters, scheint sich auch diese magische Linie zu bewegen und verschwindet dann ganz, genau wie die Pupillen der Grinsekatze, während sie verschmitzt umherschwebt. Erleben Sie den Cheshire-Effekt – wir garantieren Ihnen ein Grinsen.
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4.3 ★★★★★
Based on 13 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