Data "poisoning" tool lets artists damage AI image generators that try to train on their works
Researchers have developed a tool to inject digital artworks with invisible data that damages AI image generators when they are trained off the work, MIT Technology Review reports.
Nightshade, the work of a team led by Professor Ben Zhao at the University of Chicago, can confuse image generators like Dall-E, Midjourney, and Stable Diffusion to make them churn out nonsense results.
Researchers have developed a tool to inject digital artworks with invisible data that damages AI image generators when they are trained off the work, MIT Technology Review reports.
Nightshade, the work of a team led by Professor Ben Zhao at the University of Chicago, can confuse image generators like Dall-E, Midjourney, and Stable Diffusion to make them churn out nonsense results.