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mtb pedale metall ROCKBROS Fahrradpedale 9/16 Zoll Alu MTB Pedale mit Abgedichtete Lager – ROCKBROS-DELanglebiges Material: Mountainbike Pedale aus Aluminium mit CNC Technik. 100% Cr Mo Spindel mit 9 16 Gewinde. Anti Rutsch: jedes Fahrradpedal hat 10 Edelstahl Sechskantschrauben, um die Griffigkeit zu verbessern. Abgedichtete Lager: Die Staubschutzkappe des Rennradpedals hat eine gute Dichtung, um die Lager vor Wasser und Staub zu schtzen. Das linke und rechte Pedal sind durch ein Symbol getrennt, "L" fr links und "R" fr rechts. Breite Plattform: Die
- Langlebiges Material: Mountainbike-Pedale aus Aluminium mit CNC-Technik. 100% Cr-Mo-Spindel mit 9/16-Gewinde.
- Anti-Rutsch: jedes Fahrradpedal hat 10 Edelstahl-Sechskantschrauben, um die Griffigkeit zu verbessern.
- Abgedichtete Lager: Die Staubschutzkappe des Rennradpedals hat eine gute Dichtung, um die Lager vor Wasser und Staub zu schützen. Das linke und rechte Pedal sind durch ein Symbol getrennt, "L" für links und "R" für rechts.
- Breite Plattform: Die ca. 90 mm breite Pedalplattform sorgt für ein bequemes Fahren. Erhältlich in 2 Farben: schwarz und rot.
- Geringes Gewicht: Das Zentrum des Pedals besteht aus Karbonrohren und jedes Pedal wiegt nur 156 Gramm.
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4.8 ★★★★★
Based on 17 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.
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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
★★★★★ 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.
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Reviewed in the United States on October 18, 2024