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Description
Dropout 60 BianchiDropout 60 * CNC machined 6061 aluminum * Black anodized finish * Mounting hardware included BH XC L Doss 2009 Bianchi 1885 2006 2010 1885 Alu 2009 2010 1885 Veloce 2008 323 2009 5200 XC L Doss 2009 928 Carbon 2008 2009 928 Carbon C2C 2009 Axis 2008 Axis 2010 Axis Cross 2008 C Sport 2, 3, 4 2015 C2C Via Nironoe 7 2009 Camaleonte 2008 2009 Camaleonte 2 2009 Camaleonte Quatro Due Uno 2011 Camaleonte Sport 2013 Camaleonte Uno 2011 Carbon C2C 2009 CC Alu
Dropout 60
* CNC machined 6061 aluminum
* Black anodized finish
* Mounting hardware included
BH
- XC-L Doss - 2009
- 1885 - 2006-2010
- 1885 Alu - 2009-2010
- 1885 Veloce - 2008
- 323 - 2009
- 5200 XC-L Doss - 2009
- 928 Carbon - 2008-2009
- 928 Carbon C2C - 2009
- Axis - 2008
- Axis - 2010
- Axis Cross - 2008
- C Sport 2, 3, 4 - 2015
- C2C-Via Nironoe 7 - 2009
- Camaleonte - 2008-2009
- Camaleonte 2 - 2009
- Camaleonte Quatro/ Due/ Uno - 2011
- Camaleonte Sport - 2013
- Camaleonte Uno - 2011
- Carbon C2C - 2009
- CC Alu Axis - 2009
- Celests - 2006
- D2Cross-Axis - 2009
- Dama-AluHydro - 2009
- Daniela - 2008
- Dos 5100 - 2009
- Doss 4800 - 2008-2009
- Doss 5100 - 2009-2010
- Doss 5200 - 2009-2010
- Doss 6600 - 2008-2009
- Elena - 2008
- EV4 - 2001-2002
- FG - 2006
- Freccia - 2006
- Impulso - 2013-2014
- Junior 24 - 2006
- Metropoli - 2012-2013
- Mutt 7700 - 2008-2009
- Mutt 7800 - 2008-2009
- Nirone - 2013
- Nirone 7 - 2013
- Oetzi 9500 - 2008-2009
- S9 - 2006, 2009
- S9-Matta - 2009
- She Alu - 2009-2010
- She Alu Carbon - 2010
- Silvia - 2008-2009
- SL3 and Others - 2003-2004
- Sok - 2009
- Sok 29er - 2009
- Valentina - 2008
- Via Narone - 2008-2014
- Via Nirone 7 - 2010-2011
- Via Nirone 7 c2c - 2007
- Zurigo - 2011, 2013
- Kula Supreme - 2006
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4.3 ★★★★★
Based on 25 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
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