SKU: 55035367803

Call Me Maybe Shirt

Sale price$30.60 Regular price$34.00
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Ships within 48 hours · Estimated delivery Jul 17 - Jul 22

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For Your Every Summer RSVP, with Code: SUMMER15

Description

Call Me Maybe ShirtWe are head over heels for this flirty top! The Call Me Maybe Shirt features a one shoulder silhouette with a kimono sleeve and peplum waist. The perfect top for date night, brunch, or your next event! Stretchy + One shoulder + Elastic waist 100% rayon Wash cold, hang dry True to sizes *Measurements listed below are of the actual clothing item* S: Chest 22" Waist 22" 30" Length 27"M: Chest 24" Waist 24" 32" Length 27"L: Chest 26" Waist 26" 34" Length

We are head over heels for this flirty top! The Call Me Maybe Shirt features a one shoulder silhouette with a kimono sleeve and peplum waist. The perfect top for date night, brunch, or your next event!

  • Stretchy + One shoulder + Elastic waist
  • 100% rayon
  • Wash cold, hang dry
  • True to sizes
*Measurements listed below are of the actual clothing item*
S: Chest 22" Waist 22"-30" Length 27"
M: Chest 24" Waist 24"-32" Length 27"
L: Chest 26" Waist 26"- 34" Length 27"
XL: Chest 28" Waist 28"- 36" Length 27"
1XL: Chest 30" Waist 30"-38" Length 29"
2XL: Chest 32" Waist 32"-40" Length 30"
3XL: Chest 34" Waist 34"-42" Length 29"

Model Amy is wearing size S
Model Sonia is wearing size 1XL

Suggested pairings:

  • Lauren Hi-Waisted Skinny Jeans In White
  • Hi-Rise Button Fly Skinny
  • Lizzie Braided Strap Sandals In White
  • Fresh Fruit Earrings
  • Maya Braided Heels In Tan
  • Alexa Pearl Necklace

Keywords: Pink, One Shoulder, Peplum
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Exchange/Return Notes
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SKU: 55035367803

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4.2 ★★★★★
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TheTechGuyz
Massapequa, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 16, 2026
S
Verified Purchase
Steve Wilson
Battle Creek, 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
N
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Niti Sharma
Battle Creek, 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
C
Verified Purchase
Catalina J.
Houston, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
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Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
New York, US
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
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Reviewed in the United States on October 18, 2024

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