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Description
John Frieda Blond+ repair bond building shampoo 250 MilliliterJohn Frieda Blond+ repair bond building shampoo Deze Bond Building shampoo reinigt & geeft glans. Step 2 Ingredinten (INCI) Aqua, Sodium Laureth Sulfate, Cocamidopropyl Betaine, Coco Glucoside, Sodium Chloride, Parfum, Glycol Distearate, Propanediol, Benzyl Alcohol, Guar Hydroxypropyltrimonium Chloride, Dicetyldimonium Chloride, Isononyl Isononanoate, Laureth 4, Laureth 23, Polyquaternium 10, Glyceryl Oleate, Hexyl Cinnamal, Cetyl Alcohol, Peg 12
John Frieda Blond+ repair bond building shampooDeze Bond Building shampoo reinigt & geeft glans.
Step 2
Ingrediënten (INCI)
Aqua, Sodium Laureth Sulfate, Cocamidopropyl Betaine, Coco-Glucoside, Sodium Chloride, Parfum, Glycol Distearate, Propanediol, Benzyl Alcohol, Guar Hydroxypropyltrimonium Chloride, Dicetyldimonium Chloride, Isononyl Isononanoate, Laureth-4, Laureth-23, Polyquaternium-10, Glyceryl Oleate, Hexyl Cinnamal, Cetyl Alcohol, Peg-12 Dimethicone, Dimethyl Isosorbide, Propylene Glycol, Malic Acid, Tetrasodium Glutamate Diacetate, Glycine, Ppg-9, Panthenol, Sodium Hydroxide, Sodium Benzoate, Salicylic Acid, Citrus Aurantium Peel Oil, Limonene, Linalool, Tetramethyl Acetyloctahydronaphthalenes.
Gebruik
Breng de shampoo voorzichtig aan op het natte haar, masseer tot het schuimt en spoel goed uit.
Bewaaradvies
Afgesloten en buiten het bereik van kinderen bewaren.
Na opening 12 maanden houdbaar.
Waarschuwingen
Alleen voor uitwendig gebruik.
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4.6 ★★★★★
Based on 8 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.
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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