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Description
Chambor Orangerie 463 Extreme Wear Transferproof Liquid LipstickChambor Orangerie 463 Extreme Wear Transferproof Liquid Lipstick: 6 ml About This Product: Chambor Extreme Wear Transfer Proof Liquid Lipstick is a long lasting, transfer proof liquid lipstick with a smooth sensorial feel and a creamy matte finish. Its extreme coverage provides a deep, intense colour in just one stroke. Features: Long lasting, transfer proof liquid lipstick that sets to a creamy matte finish Infused with concentrated pigments it
Chambor Orangerie 463 Extreme Wear Transferproof Liquid Lipstick: 6 ml
About This Product:
Chambor Extreme Wear Transfer Proof Liquid Lipstick is a long-lasting, transfer-proof liquid lipstick with a smooth sensorial feel and a creamy matte finish. Its extreme coverage provides a deep, intense colour in just one stroke.
Features:
- Long-lasting, transfer-proof liquid lipstick that sets to a creamy matte finish
- Infused with concentrated pigments it offers an incredible depth of colour
- This high coverage lip colour glides on smoothly without drying your lips
- The rounded applicator makes both lining and applying lip colour effortless
How to use:
Hold the applicator vertical beginning from the cupid's bow follows the lip line towards the corner of the lips. Then fill in the entire lips with the deep intense colour for a Smooth Matt finish
To remove: Use Chambor Eye & Lip Make up Remover
Product ID: 5908854
Legal Disclaimer: The product is guaranteed to be 100% genuine. Product images are for illustrative purposes only. Images/packaging/ labels may vary from time to time due to the manufacturer's manufacturing batch and location changes. The product description is for information purposes only and may contain additional ingredients
Product ID: 5908854
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4.8 ★★★★★
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.
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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