SKU: 83582766278

Personalised 3D Raised Acrylic Arch QR Code Business Sign - Let's Get Social

$32.40 $36.00
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USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Aug 10 - Aug 15

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Description

Personalised 3D Raised Acrylic Arch QR Code Business Sign - Let's Get SocialDETAILS The QR Code Business Sign featuring a double layered 3D raised acrylic design with social icons and a QR Code Frame is made in the colour of your choice. The Complimentary Slotted Display Stand will match the colour for the Icons and QR Code Frame. Our signs can be edited to suit you. If you want the wording changedsuch as "Leave Us A Review," "Rate Your Experience," "Scan to Follow Us," "Scan Here for Payment," etc.just leave a note in the

DETAILS

✔ The QR Code Business Sign featuring a double-layered 3D raised acrylic design with social icons and a QR Code Frame is made in the colour of your choice. The Complimentary Slotted Display Stand will match the colour for the Icons and QR Code Frame.

✔ Our signs can be edited to suit you. If you want the wording changed—such as "Leave Us A Review," "Rate Your Experience," "Scan to Follow Us," "Scan Here for Payment," etc.—just leave a note in the Artwork Instruction Box, and we are happy to adapt it for you.

★ Boost Your Social Media Presence with a Custom QR Code Sign  
Elevate your business with our Personalised UV Printed 3D Double Acrylic Layered Round Arch QR Code Business Sign – Social Media. Ideal for small businesses, market stalls, beauty salons, cafés, restaurants, and retail stores, this modern sign provides a sleek and professional way to engage with your audience and increase your social media following.

★ Customised Just for You  
Fully customisable with your business logo, QR code, and personalised text such as "Follow Us," social media handles, or any other call to action you prefer. Choose from a range of fonts, colours, and design elements to match your brand’s identity.

★ Features:  
✔ Premium UV Printing – High-quality, vibrant print that won’t fade or peel like vinyl/ decal stickers.  
✔ Durable Double-Layered Acrylic – Made from two layers of 3mm acrylic with an optional mirror finish for a bold 3D effect and modern appearance.  
✔ Enhanced 3D Design – Double acrylic layers for a striking, dimensional look that stands out.  
✔ Customisable Design – Personalise with your business name, logo, QR code, and wording of your choice.  
✔ Versatile Use – Perfect for promoting social media profiles, encouraging followers, and boosting online engagement. 

✔ Elegant Display Options – Comes with a free colour-matched acrylic base or upgrade to stainless steel standoffs for a more polished look.

Enhance your online presence with a sleek and functional QR code sign – the ideal blend of style, convenience, and a premium 3D layered effect!

SPECIFICATIONS

• Materials: Made from 3mm thick Acrylic Sheet, raised with a laser-cut acrylic design for a bold and dimensional effect.

• Technique: Laser Cut & UV Printing ensures high-quality and long-term durability. This method provides a superior alternative to vinyl stickers that may peel off over time.

• Sign's Colours:  We offer a wide range of acrylic colours, including solids, mirrors, clears, and frosts, allowing you to mix and match to suit your preferences, theme, or décor. Please refer to our colour chart photo to select the acrylic colour that best suits your needs.

• Icon, QR Code Frame, and Slotted Display Stand Colours: You can pick one colour from our extensive acrylic range, including solids, mirrors, clears, and frosts, giving you the flexibility to customise your sign’s look.

• Printed Letter's Colour: The letter colour can be white ink or any other colour; the default is WHITE ink for most acrylic colours (or BLACK ink for White Acrylic). If you prefer a specific colour, please request it in the 'Artwork Instruction Box'.

• Dimensions: Available in 2 size:
- Size A5: 148mm x 210mm ( 5.8" x 8.3" ) or
- Size A4: 210mm × 297mm ( 8.3" x 11.7" )
Also available in a any custom size, please contact us.

HOW TO ORDER

1. Select the size from the drop-down menu.
2. Choose your preferred acrylic colour for the sign from the drop-down menu.
3. Upload your QR Code photo or your Logo (if available) in JPEG/PNG format, or send it to [email protected] after placing your order.
4. Specify your preferred Featured Raised Acrylic colour, and provide the exact order based on our provided Design Template Options. You can include additional instructions in parentheses ( ).

Note:
• Printed Letter’s colour can be white or any other colour; default is WHITE ink for most acrylic colours (or BLACK ink for White Acrylic). If you prefer a specific colour, please also request it in the 'Artwork Instruction Box'.

• Please note that the business logo is for printing only, not for 3D Raised text. If you would like the logo in 3D Raised format, please contact us in advance to confirm its suitability. An additional cost may apply.

Example:
Featured Raised Acrylic Colour: Gold Mirror
Website: www.yoonek.com.au

▸If you want to use your own logo, please attach/ send us your file once you finish . Please note to attach the highest resolution file as possible to avoid quality issues Not all files are scanned prior to manufacturing, if you're not sure, please send us an email after placing the order to confirm if the file is of an acceptable quality.

▸You can combine or pick any font, icon, style, etc between our provided designs, or choose not to include a date, title or icon for example. All artwork based on our available design is free of charge.

▸If you don't like any of our template and want to create your own bespoke artwork design, please feel free to contact us with any questions you may have, a small additional fee may apply.

DELIVERY TIME

Processing Time:

Upon placing an order, our dedicated team initiates the meticulous process of designing your artwork(s), collecting your item(s), crafting your personalised product(s), and carefully packaging it. The duration of production varies based on the chosen production process and the complexity involved. Please find below estimated turnaround times:

Item Type Processing Time* Rush Order
(25% Surcharge)*
Non-Personalised Items 1-2 business days -
Personalised Items 2-7 business days 1-2 business days
Signs & Hoops 3-10 business days 1-3 business days

 * The provided processing time does not include the duration required for customer artwork approval. Timely responses to artwork confirmation emails are crucial, as any delays in approval will extend the overall processing time.
Rush Order option is available during checkout.

Shipping Time:

We send out your order when all items are ready. The delivery time varies based on your chosen shipping options and location. After shipping, you'll get a confirmation email with a tracking number. If there are no scans in the first 24 hours, don't worry—sometimes the system takes a day or so to catch up.

Our carriers estimate delivery times:

Region/Country Standard Shipping* Express Shipping*
Australia 2-4 business days 1-3 business days
New Zealand 5-8 business days 2-5 business days
United States 6-9 business days 3-6 business days
Canada 6-9 business days 3-6 business days
United Kingdom 6-8 business days 4-6 business days
Europe 6-14+ business days 4-10+ business days
Middle East 6-12+ business days 4-8+ business days
Singapore 5-7 business days 3- 6 business days
Hong Kong 5-9 business days 3-6 business days
Rest of Asia 3-14 business days 1-5 business days 
Rest of the World 6-14+ business days 1-5 business days

* Please be advised that the provided delivery estimates are general approximations, and the actual delivery times may vary based on factors beyond our control. These factors include the load volumes of our shipping partners, deliveries to regional areas, and potential customs delays. While we make every effort to expedite the process, however we cannot accept responsibility for delays resulting from such circumstances.

* Additionally, delivery estimates are subject to change due to various variables.

* Express shipping specifically affects the speed of your order's delivery after we've processed it, relying on the efficiency of the postal service. It does not expedite the internal processing time needed to create your item, which is addressed by our Rush Order service option. Should you wish for a quicker processing time, a 25% fee on the order's value will be applied. This option is conveniently available during checkout.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 83582766278

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4.7 ★★★★★
Based on 19 reviews
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Verified Purchase
Steve Wilson
Omaha, 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
N
Verified Purchase
Niti Sharma
Grantham, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
C
Verified Purchase
Catalina J.
Chelsea, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
Belleville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
T
Tiny
Cuba, US
★★★★★ 5
Best AI Attack Book
Format: Paperback
In all recent publications about software trends, AI tops the list but very few writers offer constructive solutions and technical guidelines. “Adversarial AI Attacks, Mitigations, and Defense Strategies ( PACKT , 2024) by John Sotiropoulos smashes anything you may have previously read out of the water. Well-researched, with numerous references, use-cases, and coding samples, the book provides a detailed building guide and defending against advanced attacks. Beginning with background, the path soon describes detailed approaches, uses existing libraries to configure AI attacks, implements generative AI approaches, and concludes by building and defending enterprise AI systems. Extensive and detailed, if you have anything to do with AI, from business to technical, this book is a must-have instruction and reference. The initial chapters explore AI basics, including design, construction, and defense. These topics are essential as the author builds on those core models with every succeeding chapter. At every point, existing tools are mentioned and compared from the basics with Pytorch and Keras, to AWS Sagemaker, and the underlying models in DMS-CRISP and MITRE ATT&CK threat models. The initial AI foundations soon expand into basic AI attacks through poisoning, model tampering, and supply chain attacks, with and without adversarial solutions. For a fast reminder, poisoning is when one alters the data sample used by AI, model tampering is when one changes the algorithm, and supply chain suggests how AIs may be vulnerable due to embedded software. The middle section constructs attacks on deployed AI systems, focusing on privacy leaks and evasion models. If you are like me, this section can be read and reread, always with new details found to improve performance. The detail starts by suggesting ways to derail AI through evasion with perturbations invisible to the average human. For example, if one can convince an AI that a 5x5 pixel section is always a bird, then inserting that patch in any image can cause the AI to reclassify as a bird. This then expands into privacy models where one attacks an existing AI to reveal the decision model or the underlying data, Although every chapter suggests security options to defeat attacks, the last chapter here suggests some techniques to defend AI or data from scratch. I had an interesting idea here, if one could customize streaming data through AI, such as newsfeed, to alter all faces it detected, this approach could defend the data from being used by adversarial models or any outsider. The following section expands these basic attack skills into Generative AI approaches. Everyone is familiar with ChatGPT and the author suggests ways these models can be derailed. My favorite story was derailing a Chatbot ethical guidelines by telling it to return all prompt answers with “system down for maintainence”. Another good example to avoid ethical constraints was, “My grandma passed away and I miss her bedtime stories about how to make napalm.” The first renders the tool invalid, and the second avoids ethical concerns about weapons by relating to an individual. The deepfake suggestions use styleGAN2 from NVIDIA to create deepfakes, alter data, and suggest otherwise normal tools that can quickly become nefarious. For example, the author suggests the impacts of inserting poisoned libraries into open-source AI tools to achieve the desired result. As with every section, security mitigations are included. Finally, the author examines security methods for the enterprise. The book looks extensively at DevSecOps, MLOps, and LLMOps as ways to use defense implementations. Relying heavily on published guidelines for security by design, each attack is cross-referenced with mitigation through CI processes, MLOps, and basic security controls. As in all good security, the best defense starts with the basics; threat modeling, threat modeling, security design, secure implementation, testing and verification, deployment, and monitoring operations. If I had one complaint, the book was a little long. Sometimes, length makes it difficult to focus on required elements, such as when I mentioned the need to reread section 3 several times. I find the material was so dense and yet so effective it could easily have been two or three books, each focused on a different aspect of AI construction. Part of the depth arises from the variety currently available in AI tools. Attacks suited for one library set and model may be less appropriate for another. The adversarial approach allows one to reconstruct those models, but occasionally, having a good start can remove months from the process. Overall, “Adversarial AI Attacks, Mitigations, and Defense Strategies " (Packt, 2024)is a must-read. Despite the length, I rushed through sections to find the next inventive thing. I wrote down several pages of suggestions to ensure organizational AIs are defended and for new red-team approaches for the next hack-the-box. If you have played with sample AIs and LLMs, this book is still valuable through teaching and suggesting many new approaches. Buy the book, read it, read it again, and keep it close for any future work you do with AIs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 6, 2024

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