SKU: 6494350168
women's denim summer dress

women's denim summer dress Heavenly Halter: Denim Dress for Women's Summer Style

Sale price$19.08 Regular price$21.20
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Size: 4

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

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For Your Every Summer RSVP, with Code: SUMMER15

Description

women's denim summer dress Heavenly Halter: Denim Dress for Women's Summer StyleIntroducing the Heavenly Halter: Denim Dress, the perfect addition to your summer wardrobe. Made with high quality denim, this dress offers unbeatable style and comfort. The halter design adds a touch of elegance while keeping you cool on hot days. Elevate your summer style with this must have dress. Type : Shirt Style : Casual Details : Belted, Button, Pocket Neckline : Collar Waist Line : High Waist Hem Shaped : Pencil Color : Medium Wash Pattern

Introducing the Heavenly Halter: Denim Dress, the perfect addition to your summer wardrobe. Made with high-quality denim, this dress offers unbeatable style and comfort. The halter design adds a touch of elegance while keeping you cool on hot days. Elevate your summer style with this must-have dress.

Type : Shirt

Style : Casual

Details : Belted, Button, Pocket

Neckline : Collar

Waist Line : High Waist

Hem Shaped : Pencil

Color : Medium Wash

Pattern Type : Plain

Sleeve Length : Sleeveless

Length : Short

Fit Type : Regular Fit

Fabric : Non-Stretch

Material : Denim

Composition : 89% Cotton, 6% Polyester, 5% Viscose

Care Instructions : Machine wash, do not dry clean

Belt : Yes

Sheer : No

Size US Length Bust Waist Size Hip Size Belt Length
XS 2 28.9 29.1-33.5 28.3 37 70.9
S 4 29.3 30.7-35 29.9 38.6 70.9
M 6 29.7 32.3-36.6 31.5 40.2 70.9
L 8/10 30.3 34.6-39 33.9 42.5 70.9
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SKU: 6494350168

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Pen Name
Los Angeles, 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
Bozeman, 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
Waukegan, 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
Massapequa, 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.
Port Orchard, 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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