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Description
Tribeca LinearFinish Aged Brass Black Category Linear Style Everyday Modern Option UL Approved, UL Damp Rated Family Tribeca Voltage 120 VAC Backplate Width(in) 4. 75 Designer Hudson Valley Introduction Date 04 01 2020 Material Brass Max Height(in) 60 Ship Carton Height(in) 8 Ship Carton Length(in) 53 Ship Carton Width(in) 15 Ship Weight(lbs) 37 Vendor Ship Method UPS Warranty 1 Year Limited Manufacturer Weight(lbs) 32 Wire Included 120 ADA Compliant No Cable Wire
| Finish | Aged Brass/Black |
| Category | Linear |
| Style | Everyday Modern |
| Option | UL Approved, UL Damp Rated |
| Family | Tribeca |
| Voltage | 120 VAC |
| Backplate Width(in) | 4.75 |
| Designer | Hudson Valley |
| Introduction Date | 04/01/2020 |
| Material | Brass |
| Max Height(in) | 60 |
| Ship Carton Height(in) | 8 |
| Ship Carton Length(in) | 53 |
| Ship Carton Width(in) | 15 |
| Ship Weight(lbs) | 37 |
| Vendor Ship Method | UPS |
| Warranty | 1 Year Limited Manufacturer |
| Weight(lbs) | 32 |
| Wire Included | 120 |
| ADA Compliant | No |
| Cable/Wire/Cord | 120 |
| Cartons Per Unit | 1 |
| Catalog Page | 32 |
| Country of Origin | VN |
| Damp Rated | Yes |
| Energy Star | No |
| Installation Orientation | No |
| Lamp Inclusion | Yes |
| Lead Time | 1-2 Days If In Stock |
| LED Compatible Dimmer Hardware | ELV Dimmer |
| Listing | UL |
| Min Height(in) | 15.35 |
| Minimum Height(in) | 15.35 |
| Package Type | Box |
| Product Line | FG |
| Returnable | Yes |
| Safety Rating | UL |
| Sell Item | Yes |
| Stem/Rod | Wire |
| Title 24 | No |
| Truck Only | No |
| UL Approved | Yes |
| Wall Only This End Up | No |
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4.3 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
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