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Description
ARROW INDY RACE EVO MUFFLER ALUMINUM DARK CARBY BMW R 1300 GS 2024ARROW INDY RACE EVO MUFFLER ALUMINUM "DARK" CARBY Product Code : 72651AKN One of the historic ARROW product lines is renewed to become even more of an absolute icon among multipurpose exhausts that are well suited to every type of motorbike. The shape which recalls the Indy formula ovals and from which the name derives is enriched with technical details such as the new lateral embossing which, in addition to giving a very pleasant appearance, makes
ARROW INDY RACE EVO MUFFLER ALUMINUM "DARK" CARBY
Product Code : 72651AKN
One of the historic ARROW product lines is renewed to become even more of an absolute icon among multipurpose exhausts that are well suited to every type of motorbike.
The shape which recalls the Indy formula ovals and from which the name derives is enriched with technical details such as the new lateral embossing which, in addition to giving a very pleasant appearance, makes the exhaust even more robust and rigid.
New carbon end caps are added to the vast range already available for this line, so as to always match the right design to the bike on which it is applied.
Also available in the version with stainless steel bottom and old style spout.
Technical Features :
External Silencer Material : Dark Aluminum
Internal Silencer Material : Stainless Steel
Silencer End Cap Material : Carbon
Approval : APPROVED
Please compare the item code with the Arrow assembly chart because some exhausts may provide optional accessories for correct assembly.
Contact us for more information on exhaust compatibility.
NB: The picture is only indicative
ATTENTION: THIS PRODUCT REFERS TO THE EXHAUST (BIKE NOT INCLUDED)
ATTENTION: THIS PRODUCT REFERS TO THE EXHAUST (BIKE NOT INCLUDED)
FOR MORE INFO PLEASE CONTACT US
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4.7 ★★★★★
Based on 1553 reviews
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Product Reviews
★★★★★ 2
Just linear
Format: Paperback
I appreciate that it helps to organize the chaos of information, but I just used the template verbatim with my manager and it did not go very well. He said this linear approach does not work anymore with high-level corporate audiences. They want to cut right to the chase and start to dig into the deep details. This layout with simple images, even if you just pull away the map and anchor slides, makes the storytelling too much like a story, not giving enough credit to the speed at which certain audiences can and do process data on a slide. It was an interesting exercise and I still think this linear layout works in some cases. Just not if you are trying to communicate business case or other C-suite type of information.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 4, 2021
★★★★★ 5
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 10, 2026
★★★★★ 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.
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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
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