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Description
black short dress for party Jennifer Black Mini Party Dress - US 10Black Mini Dress HOW TO STYLE This little black number is sure to turn heads with its sexy lace detailing, and not to mention, its perfect for pairing with a pair of stiletto heels and a cute little shoulder bag. Date night or not, you can wear this mini dress any night of the week! FEATURES Mini length Plunging V neckline Tie up centre front Lace trim detail on bust Invisible side zip Hook and eye closure Adjustable straps A line style Bust cups
- Black Mini Dress
- HOW TO STYLE
- This little black number is sure to turn heads with its sexy lace detailing, and not to mention, its perfect for pairing with a pair of stiletto heels and a cute little shoulder bag. Date night or not, you can wear this mini dress any night of the week!
- FEATURES
- Mini length
- Plunging V-neckline
- Tie up centre front
- Lace trim detail on bust
- Invisible side zip
- Hook and eye closure
- Adjustable straps
- A-line style
- Bust cups lined - unlined elsewhere
- Lightweight material
- Slight stretch fabric
- Small slits feature on both sides
- This dress is perfect for homecoming!
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4.9 ★★★★★
Based on 917 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 10, 2026
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
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