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Description
sparkle sweater dress Size 10 Sweater DressThis cozy soft sweater dress has a glamorous attitude with its beaded shoulders, dancing jet black tassels and sophisticated silhouette. The beadwork has a sunburst flower like motif framed in iridescent bugle beads with soft shoulder pads underneath. Ladies' Size 9 to 10 Measurements Bust 40, Waist up to 38, Hip 38; Neck to Hem 45 Inches Era 1980s Label " Darian " and vintage size S at back neck Materials Black sweater knit in a cozy blend of 80%
This cozy soft sweater dress has a glamorous attitude with its beaded shoulders, dancing jet black tassels and sophisticated silhouette. The beadwork has a sunburst flower-like motif framed in iridescent bugle beads with soft shoulder pads underneath.Ladies' Size
9 to 10
Measurements
Bust 40, Waist up to 38, Hip 38; Neck to Hem 45 Inches
Era
1980s
Label
" Darian " and vintage size S at back neck
Materials
Black sweater knit in a cozy blend of 80% acrylic and 20% nylon with a mohair-like lofty texture and glinting sparkle effect; trims are black glass seed beads, iridescent black glass bugle beads and matching flat sequins
Closure
None needed
Condition
Excellent
Condition Detail
Lovely and barely worn, the label has an X, otherwise like new
Washing Instructions
Warm hand wash, shape and dry flat, steam if needed, store folded
Please note: All measurements (bust - waist - hip) are the maximum body measurements that will fit the item. These measurements already have ease subtracted and they are not actual fabric widths. To get actual fabric widths add two inches at the bust - one inch at the waist and two inches at the hip.
Size listed is a modern size. Any available vintage size is noted in the Label description. Please remember vintage sizes and modern sizes can vary a great deal.
Additional photos are often available.
Please let us know if you have any questions!
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4.4 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 1
Not a Users Guide
Format: Paperback
Although many readers may find this book useful, it describes a particular approach to Powerpoint. It is not anything like a comprehensive users guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 31, 2020
★★★★★ 2
Just linear
Format: Paperback
I appreciate that it helps to organize the chaos of information, but I just used the template verbatim with my manager and it did not go very well. He said this linear approach does not work anymore with high-level corporate audiences. They want to cut right to the chase and start to dig into the deep details. This layout with simple images, even if you just pull away the map and anchor slides, makes the storytelling too much like a story, not giving enough credit to the speed at which certain audiences can and do process data on a slide. It was an interesting exercise and I still think this linear layout works in some cases. Just not if you are trying to communicate business case or other C-suite type of information.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 4, 2021
★★★★★ 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
★★★★★ 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
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