SKU: 75914126388

BD Diesel 1715502 BD-Built Duramax LB7 Injector Stock Reman (0986435502) Chevy/GMC 2001-2004

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Description

BD Diesel 1715502 BD-Built Duramax LB7 Injector Stock Reman (0986435502) Chevy/GMC 2001-2004The BD Power 1715502 Remanufactured Fuel Injector for your 2001 2004 GM 6. 6L Duramax LB7 is a direct replacement for your factory injector. BD Power is one of only a few shops with the capability, the know how and equipment to fully test and rebuild common rail injectors. Remanufactured to stringent specifications, this injector meets or exceeds OE specifications and is a stock horsepower replacement. Sold individually. Features: Remanufactured 2

The BD-Power 1715502 Remanufactured Fuel Injector for your 2001-2004 GM 6.6L Duramax LB7 is a direct replacement for your factory injector. BD-Power is one of only a few shops with the capability, the know-how and equipment to fully test and rebuild common rail injectors. Remanufactured to stringent specifications, this injector meets or exceeds OE specifications and is a stock horsepower replacement. Sold individually. 

Features:
  • Remanufactured 
  • 2-Year Warranty 
  • Pre-Tested Before Shipping 
  • Stock HP Level - Factory Replacement
  • OE Cross Reference#: 0986435502

WARRANTY INFO:
2 Year
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SKU: 75914126388

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TheTechGuyz
New York, US
★★★★★ 5
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Format: Paperback
A very good book, I absolutely love how it gives security professionals much needed AI security insights.
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Reviewed in the United States on January 16, 2026
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★★★★★ 5
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"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.
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Reviewed in the United States on August 12, 2024
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Niti Sharma
Grantham, 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.
Alexandria, 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
New York, 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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