SKU: 81437302465

Chain Around Flap Bag Quilted Leather Maxi

$1287.00 $1430.00
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Description

Chain Around Flap Bag Quilted Leather MaxiThis Chanel Chain Around Flap Bag Quilted Leather Maxi, crafted in red quilted leather, features woven in leather chain straps, chain around design, frontal flap with CC logo, and silver tone hardware. Its magnetic snap closure opens to a light gray fabric interior with side zip pocket. Hologram sticker reads: 15379478. These are professional pictures of the actual bag offered by Rebag. Estimated Retail Price: $3,800 Condition: Very good. Odor in

This Chanel Chain Around Flap Bag Quilted Leather Maxi, crafted in red quilted leather, features woven-in leather chain straps, chain-around design, frontal flap with CC logo, and silver-tone hardware. Its magnetic snap closure opens to a light gray fabric interior with side zip pocket. Hologram sticker reads: 15379478. These are professional pictures of the actual bag offered by Rebag.

Estimated Retail Price: $3,800
Condition: Very good. Odor in interior. Faint scuffs and creasing on exterior and underneath flap, wear and darkening along opening. Minor wear on strap and in interior, scratches on hardware.
Accessories: Authenticity card.
Measurements: Height 11", Width 14", Depth 4", Strap Drop 13"
Designer: Chanel
Model: Chain Around Flap Bag Quilted Leather Maxi

Item Number: 41785/14

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SKU: 81437302465

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4.3 ★★★★★
Based on 9 reviews
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Verified Purchase
TheTechGuyz
Pawtucket, 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
Belleville, 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
Draper, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
C
Verified Purchase
Catalina J.
Draper, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024

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