SKU: 39610970160

1 Set - Ao Dai - Traditional Vietnamese Long Dress Collections with Pants - Silk 3D - All Size - Hoa Cuc

Sale price$85.50 Regular price$95.00
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Ships within 48 hours · Estimated delivery Sep 18 - Sep 23

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Description

1 Set - Ao Dai - Traditional Vietnamese Long Dress Collections with Pants - Silk 3D - All Size - Hoa CucPlease send me the exact measurements, Ao Dai tailoring according to each customer's measurements, so do not accept returns. You can customize the ao dai. Please send me your exact measurements. Please make sure your measurements are accurate. I will contact you prior to making the ao dai to confirm that the measurements are correct. You will receive your dress within 21 days. Because the dress is custom made to your specific size there will be a 50%

Please send me the exact measurements, Ao Dai tailoring according to each customer's measurements, so do not accept returns. You can customize the ao dai. Please send me your exact measurements. 
Please make sure your measurements are accurate. I will contact you prior to making the ao dai to confirm that the measurements are correct.
You will receive your dress within 21 days.

Because the dress is custom made to your specific size there will be a 50% cancellation fee if this order is canceled after payment is received 5 hours.
I will accept return if there is my mistake ( not fit, wrong colors, wrong styles)
Thanks so much for your times. Hope you will be satisfied with my products.

ATTENTION: we make the traditional style, if you want to add model seed you have to pay an extra $ 30

We will adjust to many different sizes,
please let me know your size to buy.
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Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
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SKU: 39610970160

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Pen Name
Alexandria, US
★★★★★ 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.
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Reviewed in the United States on January 10, 2026
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TheTechGuyz
Natrona Heights, US
★★★★★ 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
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Steve Wilson
West Palm Beach, US
★★★★★ 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
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Niti Sharma
Carnegie, US
★★★★★ 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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Catalina J.
Pawtucket, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025

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