SKU: 52025562672

Exhaust Muffler for XL 4 X 9in. Oval Multi-Chamber Performance Exhaust Muffler MagnaFlow 13215

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Description

Exhaust Muffler for XL 4 X 9in. Oval Multi-Chamber Performance Exhaust Muffler MagnaFlow 13215Overview: XL Mufflers are a reversible reflection style mufflers using a combination of perforated tubing and baffles to reduce unwanted resonance and increase exhaust flow. Interchange: Brand Interchange Part Number Application: Year Make Model Submodel Engine Size 1987 2000 Jeep Wrangler 2. 5L L4 1991 2000 Jeep Wrangler 4L L6 Specs: Outlet Type Offset Outlet Quantity 1 Muffler Type Multi Chamber Inlet Type Center Series XL Inlet Quantity 1 Body

Overview:

XL Mufflers are a reversible reflection style mufflers using a combination of perforated tubing and baffles to reduce unwanted resonance and increase exhaust flow.

Interchange:
Brand  Interchange Part Number

Application:

Year Make Model Submodel Engine Size
1987 - 2000 Jeep Wrangler 2.5L/L4
1991 - 2000 Jeep Wrangler 4L/L6

Specs:

Outlet Type Offset
Outlet Quantity 1
Muffler Type Multi-Chamber
Inlet Type Center
Series XL
Inlet Quantity 1
Body Width (In.) 9
Body Material Stainless Steel
Body Length (In.) 14
Subtitle Center/Offset
Body Height (In.) 4
Title 4" X 9" Oval XL Multi-Chamber
Outlet Diameter (In.) 2.25
Inlet Diameter (In.) 2.25
Shape Oval
Body Finish Satin
Exhaust Tip Quantity 0
Overall Length (In.) 20
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SKU: 52025562672

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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.
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Reviewed in the United States on January 16, 2026
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Steve Wilson
Grantham, US
★★★★★ 5
In-depth and highly technical!
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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
San Leandro, 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
West Palm Beach, 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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