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How to identify stolen or fake NFTs

How to identify stolen or fake NFTs

DeviantArt detects violating images (Photo: Screenshot/Devianart)
DeviantArt detects violating images (Photo: Screenshot/Devianart)

deviantart It is being updated. Now he added a new image recognition software that scans public blockchains and third-party marketplaces for potential NFT’s (Non-Fungible Tokensfor its acronym in English) stolen.

Through a statement, the platform indicated that not all NFTs are minted to the owner of the token, which allows some who want to benefit from it to launch others that are similar. For it was updated with DevianArt Protect that “provides an additional layer of security.”

“DeviantArt Protect, our new state-of-the-art image recognition software, was developed to help protect your art in ways that would not be possible without recent advances in machine learning”.

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(Photo: Screenshot/Devianart)
(Photo: Screenshot/Devianart)

The platform stressed that copyright infringement is a serious problem, so they trained their technology to identify images that may appear visually identical to other images on DevianArt but are not on the blockchain. When detecting an inconsistency, they notify the author or owner that there is a suspicious image.

It should be noted that when an infringing image is detected DeviantArt does not automatically remove it because there are those who do not care that their content is reuploaded or they want their image to go viral. When notifying, they give the author the option of file a notice of infringement that complies with the Digital Millennium Copyright Act (DMCA).

The objective is provide protection to the totality of the effort madeso with machine learning they identify exact matches, manipulated images and that have undergone variations. To this is added the human supervision.

Example of a notification (Photo: Screenshot/Devianart)
Example of a notification (Photo: Screenshot/Devianart)

“We have expanded the scope of our system to identify close matches of non-fungible tokens (NFTs) minted sent over the Internet. We monitor public blockchain events involving standard NFT token types (ERC721 and ERC1155) to identify potential art violations.”

They were able to realize that their technology could be applied to help protect users on emerging NFT platforms by testing the same machine learning model they use on token listings.

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With the model they identified NFT’s that had been generated from artwork submitted to DeviantArtwhere the “minter was not necessarily the owner of the original work”, which warned of a possible plagiarism or theft.

The platforms on which NFTs such as "twelve x twelve" are created and traded are multiplying every day (Photo: Jens Kalaene/dpa)
The platforms on which NFTs such as “twelve x twelve” are created and traded are multiplying every day (Photo: Jens Kalaene/dpa)

“DeviantArt Protect was developed internally by DeviantArt for the purpose of protect our artists from art theft. Our only collaboration with other creator platforms and NFT marketplaces is Leverage their APIs to search for potential art violations”.

Once the user has been notified about a copy of their art and decides to file a DMCA, the platform will process it and the infringing content will be removed within 72 hours after the complaint is received.

Users can enjoy these benefits for free with space for up to 10 images (a space of 2 GB), or pay for the subscription to the “Core” monthly service with which they can have up to a thousand images with a total of 50GB. At the moment it does not apply to written works, however, magazines or literature may be included in the future.

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It should be remembered that recently hackers stole 254 NFT’s that together were valued at 1.7 million dollars.

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