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Description
small three drawer dresser Thalia Concave 3 Drawer Dresser, Washed WhiteDESCRIPTIONS Featuring distinctive curved design, our Thalia 3 drawer dresser is crafted from solid ash veneer in a beautiful white washed finish. Gently concave drawer fronts are complemented with the aged brass clove metal handles. 3 wide drawers, each with internal divider, offer plenty of storage for bedding, cushions, etc. Size: W 39. 4 x D 17. 7 x H 35. 4 in. Partial assembly required (legs only). Please note due to natural of wood and handmade
DESCRIPTIONS
- Featuring distinctive curved design, our Thalia 3 drawer dresser is crafted from solid ash veneer in a beautiful white washed finish.
- Gently concave drawer fronts are complemented with the aged brass clove metal handles.
- 3 wide drawers, each with internal divider, offer plenty of storage for bedding, cushions, etc.
- Size: W 39.4 x D 17.7 x H 35.4 in.
- Partial assembly required (legs only).
- Please note due to natural of wood and handmade techniques, each item will have individual characteristics.
- Complete the look: Pictured with the Thalia Washed White Concave Dresser is our Ophelia Taupe Boucle Dining Chair and Geo Curve Cream Hand Tufted New Zealand Wool Rug.
DETAILS & DIMENSIONS
- Assembly Required: Yes, partial assembly only. Anti-tipping fixing included.
- *Avoid power tools when assembling.
- Care instructions: Wipe clean with a dry soft cloth. Do not use chemical based abrasive cleaning materials. Do not place glassware or tableware directly onto surface to prevent watermarks. Exposure to sunlight may change colour of finish.
- Item weight: 82.7 lbs.
-
Dimensions:
- Width: 39.4 in.
- Depth 17.7 in.
- Height: 35.4 in.
- Leg height: 7.9 in.
- Drawer internal storage size: W 33.5 x D 11.1 x H 6.1 in.
- Material:
- Frame: MDF with solid ash veneer
- Legs: rubber wood
- Door handles: metal
- Sku: XXCOD-023-WHITEWASH
PACKAGE & SHIPPING
- The Thalia 3-Drawer Dresser comes packaged in one box
- Package dimensions: 43.3 x 32.1 x 21.7 in. / 110 lbs.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.9 ★★★★★
Based on 1951 reviews
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Product Reviews
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 10, 2026
★★★★★ 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.
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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
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