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Description
Velo Orange Zeppelin Fenders, 52mm - BlackNew production of the classic zeppelin style aluminum fenders Art deco design looks great on retro and modern bikes Fits either 700c or 650b sized wheels. 650b models also fit 26" wheels Accommodates tires up to 42mm wide Mounting hardware includes: 5mm polished aluminum stays, R clips and screws, stay to fender closed eyelet bolts, fork crown daruma, sliding bracket, and leather washers Today's Stock Status 10+ Available to ship in 2 4 Business Days
- New production of the classic zeppelin-style aluminum fenders- Art-deco design looks great on retro and modern bikes
- Fits either 700c or 650b sized wheels. 650b models also fit 26" wheels
- Accommodates tires up to 42mm wide
- Mounting hardware includes: 5mm polished aluminum stays, R-clips and screws, stay-to-fender closed eyelet bolts, fork crown daruma, sliding bracket, and leather washers
Today's Stock Status
10+ Available to ship in 2-4 Business Days
UPC: 815667014679
EAN: Not available
Manufacturer Part Number: FE-0058-BLK
VO0014
173391-Q0-L
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4.6 ★★★★★
Based on 12 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
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