SKU: 24071319270
red wool dress

red wool dress 70s Red Plaid Wool Maxi Dress

Sale price$21.83 Regular price$24.26
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Size: 4

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Ships within 48 hours · Estimated delivery Jul 10 - Jul 15

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Description

red wool dress 70s Red Plaid Wool Maxi DressDESCRIPTION: This 70s wool pinafore style jumper style maxi dress is unlined and has ruffles on either side of the bib. It has a zipper in the back and 2 pockets in front. This maxi dress looks like a warm soft blanket that you can wear with your favorite leather boots and cashmere turtleneck. It wears well with any shade of leather or suede and it will carry you from fall into the coldest part of winter and into the doorsteps of the promise of

DESCRIPTION:

This 70s wool pinafore style jumper - style maxi dress is unlined and has ruffles on either side of the bib. It has a zipper in the back and 2 pockets in front. 

This maxi dress looks like a warm soft blanket that you can wear with your favorite leather boots and cashmere turtleneck.  It wears well with any shade of leather or suede and it will carry you from fall into the coldest part of winter and into the doorsteps of the promise of spring. 


ITEM MEASUREMENTS:

Waist:  27" (measured 15" down from shoulder)
Hips:  34" (measured 21" down)
Total Length: 55"


MODEL INFO: Height: 5’5”, Bust: 33”, Waist: 25.5”, Hips: Hips: 36” / Size (2-4)


OTHER DETAILS:

Feel free to ask any questions or request additional photos prior to purchasing. We want you to have all the details we know about the item beforehand so you can make the best decision for you, the consumer.


IMPORTANT: We carefully measure every vintage garment lying on a flat surface.


To ensure a proper fit, we recommend that you use the measurements provided and compare to your own measurements.


Many items offered on our site don’t stretch, so compare our measurements with non-stretch items in your wardrobe.

Feel free to ask us any questions or request additional photos before purchasing as all sales are final.


Shipping Notes
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Exchange/Return Notes
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SKU: 24071319270

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Pen Name
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★★★★★ 5
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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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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
Phoenix, US
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In-depth and highly technical!
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"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
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★★★★★ 4
Good and thorough!
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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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