SKU: 29037910980

Siren - NC Medium Firmness

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Description

Siren - NC Medium FirmnessInfo Model: Siren Size: SmallFirmness: NC medium (00 45)Notes: Approximate Measurements Height: 5"Insertable length: 4"1 2 Circumference of fin (squeezed together): 3"1 2Widest circumference: 5"1 2* Models are handmade and may have some surface imperfections. Such flaws are purely visual and will not affect use.* Colors may slightly vary due to photographic lighting and monitor settings, but I try to capture the colors as accurately as possible.

Info
Model: Siren
Size: Small
Firmness: NC medium (00-45)
Notes:

• Approximate Measurements 
Height: 5"
Insertable length: 4"1/2
Circumference of fin (squeezed together): 3"1/2
Widest circumference: 5"1/2

* Models are handmade and may have some surface imperfections. Such flaws are purely visual and will not affect use.
* Colors may slightly vary due to photographic lighting and monitor settings, but I try to capture the colors as accurately as possible.

Materials
100% platinum cure silicone and pigments, cosmetic grade mica powder.

Care instructions
- Toys can be cleaned with soap and water, and safely boiled for further sanitization.
- DO NOT use with silicone based lubes.
- DO NOT store with other non-silicone toys. Even high quality silicone is known to sometimes have bad reactions when stored with other toys such as jelly and various plastics.
- Always be careful with sharp nails and teeth. Silicone is durable but sharp objects can cut into it.

Due to the nature of this product, we do not accept returns or refund, unless a mistake was made on our part. Please contact us if you have any issue with your order!

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Exchange/Return Notes
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SKU: 29037910980

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TheTechGuyz
Houston, 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
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Steve Wilson
Charlottesville, 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
Lexington, 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.
Los Angeles, 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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Brian
Port Orchard, 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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