SKU: 64023825863

1987-1995 Land Rover Range Rover Classic Corner Lamps New Clear

Sale price$37.59 Regular price$41.77
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Description

1987-1995 Land Rover Range Rover Classic Corner Lamps New ClearCorner Lamps New Fit For Land Rover Range Rover Classic 1987 1995 Clear Feature: 1: Made in an ISO 9001 facility to ensure highest quality 2: Get your vehicle in good looking form 3: Perfect replacement for your stock corner lights 4: High quality and high cost performance 5: Easy to install, durable in use Specifics: Condition: 100% Brand New & Good Quality Material: Plastic Placement on Vehicle: Front, Right,Left Manufacturing Part Number: PRC8949 +

Corner Lamps New Fit For Land Rover Range Rover Classic 1987-1995 Clear

Feature:
1: Made in an ISO 9001 facility to ensure highest quality
2: Get your vehicle in good looking form
3: Perfect replacement for your stock corner lights
4: High quality and high cost performance
5: Easy to install, durable in use

Specifics:
Condition: 100% Brand New & Good Quality
Material: Plastic
Placement on Vehicle: Front, Right,Left
Manufacturing Part Number: PRC8949 + PRC8950
Direct replacement.

Fitment for:
For Land Rover Range Rover Classic 1987-1995

Package Included:
A pair Corner Lights(Left&Right,As Picture Shown)

Note:
Different regions may have different versions, models compatibility table for reference purposes only!

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

Shipping Notes
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 64023825863

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TheTechGuyz
Carnegie, 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
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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
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Niti Sharma
Charlottesville, 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
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Catalina J.
Bozeman, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
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Brian
Draper, 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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