MBRP 1994-1997 Ford F-250/350 7.3L Turbo Back Single Side Off-Road (Aluminized downpipe)

MBRP 1994-1997 Ford F-250/350 7.3L Turbo Back Single Side Off-Road (Aluminized downpipe)

Marsoni

M251S

$297.50

Get it in 3 business days with 1 day shipping. Friday, May 29

MBRP 1994-1997 Ford F-250/350 7.3L Turbo Back Single Side Off-Road (Aluminized downpipe)Our high flow performance exhaust systems maximize exhaust flow so your engine keeps its cool with lower exhaust temperatures. Your reward will be greater fuel efficiency; more torque; more horsepower; and last but not least a sound that is pure MBRP. This Part Fits: Year Make Model Submodel 1995 1996 Ford F 250 Eddie Bauer 1995 1996 Ford F 250 Special 1994 1996 Ford F 250 XL 1994 1996 Ford F 250 XLT 1997 Ford F 250 HD XL 1997 Ford F 250 HD XLT 1997

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Reviewed in the United States on March 4, 2021

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Louisville, US

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Excellent AI security book

Format: Paperback

A necessary book for those who in work in the AI Security field. It is easy to read and easy to follow along with practice labs. The author did a good job incorporating the breadth of AI threats.

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Reviewed in the United States on January 10, 2026

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TheTechGuyz

West Palm Beach, 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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Lexington, 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.

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Reviewed in the United States on August 12, 2024

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★★★★★ 4

Good and thorough!

Format: Paperback

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Reviewed in the United States on May 9, 2026