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MIT Creates ‘Photoguard’ Tool To Prevent Your Photos From AI Manipulation


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As the digital world continues to evolve, concerns about unauthorized manipulation and theft of online artwork and images have grown. In response to this challenge, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have devised an innovative solution: ‘PhotoGuard’, a technique that safeguards photos from edits made on artificial intelligence.

This program, found on GitHub, introduces imperceptible, invisible noise into an image by employing data poisoning techniques. Although undetectable by the human eye, this noise disrupts an AI’s ability to generate realistic deepfakes based on the original render.

How does it work? PhotoGuard selectively alters pixels in such a way that machines can detect and read the changes, but to human viewers, the picture appears unaltered. This strategy prevents AI algorithms from accurately understanding and reproducing the image, thereby thwarting any attempts at malicious edits.

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