SKU: 7047630085

KENUI GS642 14 53

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Description

KENUI GS642 14 53DESCRIPTION Kenui is the classic rectangle you pair with both your in office or out of office wardrobe. Designed with SuperThin Glass, experience crisp, vibrant views wherever you are. Exclusive PolarizedPlus2 lens technology, Signature Native Pattern on temple core exterior, Signature Slash and native pattern on rubber temple tips. INFORMATION Lens Size 53 mm Nose Bridge Length 18 mm Temple Length 145 mm Gender Unisex Material Acetate Shape Wayfarer

DESCRIPTION

Kenui is the classic rectangle you pair with both your in-office or out-of-office wardrobe. Designed with SuperThin Glass, experience crisp, vibrant views wherever you are.Exclusive PolarizedPlus2® lens technology, Signature Native Pattern on temple core exterior, Signature Slash and native pattern on rubber temple tips.

INFORMATION
Lens Size 53 mm
Nose Bridge Length 18 mm
Temple Length 145 mm
Gender Unisex
Material Acetate
Shape Wayfarer
Country of Origin Hawaii
Front Colour Shiny Black
Temple Colour Shiny Black & Gold
Lens Colour Neutral Grey Polarised
Style Tip This shape is best suited for an oval or round face while it goes well with most face shapes. To learn more, please refer to our shape and style guide.
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SKU: 7047630085

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TheTechGuyz
Bozeman, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
S
Verified Purchase
Steve Wilson
Dallas, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 12, 2024
N
Verified Purchase
Niti Sharma
Houston, US
★★★★★ 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
C
Verified Purchase
Catalina J.
Port Orchard, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
San Leandro, US
★★★★★ 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

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