SKU: 41316774913

Baguette Lizard Trim

Sale price$182.25 Regular price$202.50
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Description

Baguette Lizard TrimThis is a very detailed and modern Fendi Baguette Lizard Skin Trim. It is made of a beautiful combination of textures and shades of red, black and beige with a metallic red lizard skin trim. It works great as a statement piece purchase. Date code reads: 2370 8BR000 WE9 078. Estimated Retail: $1,200 Condition: Excellent. Light fading on satin liner Measurements: Handle Drop 6. 5", Height 6", Width 11", Depth 2" Designer: Fendi Model: Baguette Lizard

This is a very detailed and modern Fendi Baguette Lizard Skin Trim. It is made of a beautiful combination of textures and shades of red, black and beige with a metallic red lizard skin trim. It works great as a statement piece purchase. Date code reads: 2370-8BR000-WE9-078.

Estimated Retail: $1,200
Condition: Excellent. Light fading on satin liner
Measurements: Handle Drop 6.5", Height 6", Width 11", Depth 2"
Designer: Fendi
Model: Baguette Lizard Skin Trim

Item Number: 264/05

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SKU: 41316774913

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4.5 ★★★★★
Based on 26 reviews
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Verified Purchase
TheTechGuyz
Fort Morgan, 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
Lexington, 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
Battle Creek, 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.
Lake Worth, 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
Carnegie, 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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