SKU: 34500645471

Kismet - Floral Collection (Paperback)

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Kismet - Floral Collection (Paperback)Series: Serendipity #2 Tropes: Opposites Attract, Second Chances, Small Town, Blue Collar, Workplace Romance 184+ 5 Star Reviews The Serendipity Floral Collection the same book you originally loved, now with a special edition floral cover. Time has changed the girl he left behind and the sexy woman wont fall into his bed so easily. Lissa Gardellis journalism career is about to take a big leap forward, thanks to scoring an interview with Wall Street

Series: Serendipity #2

Tropes: Opposites Attract, Second Chances, Small Town, Blue Collar, Workplace Romance

⭐️⭐️⭐️⭐️⭐️ 184+ 5-Star Reviews

The Serendipity Floral Collection — the same book you originally loved, now with a special edition floral cover.

Time has changed the girl he left behind—
and the sexy woman won’t fall into his bed so easily.

Lissa Gardelli’s journalism career is about to take a big leap forward, thanks to scoring an interview with Wall Street wonder, Trevor Dane. There’s just one hurdle: keeping her identity a secret until she gets in the door.

Trevor Dane has arrived—corner office, seven-figure income, and women at the snap of his fingers. A profile piece in the News Journal is just icing on the cake. Until he lays eyes on his interviewer, the high school sweetheart who’s haunted his dreams for ten long years.

The sparks between them still burn, and business quickly ignites into pleasure. But Lissa is keeping one last secret…one that could either solidify their reunion, or drive them apart—for good.

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SKU: 34500645471

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4.3 ★★★★★
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TheTechGuyz
Chelsea, 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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Verified Purchase
Steve Wilson
Pawtucket, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 12, 2024
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Verified Purchase
Niti Sharma
Draper, 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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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
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Verified Purchase
Brian
Bozeman, 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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