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A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission.
[...]
Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows.

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[-] ayaya@lemdro.id 6 points 1 year ago

Obviously this is using some bug and/or weakness in the existing training process, so couldn't they just patch the mechanism being exploited?

Or at the very least you could take a bunch of images, purposely poison them, and now you have a set of poisoned images and their non-poisoned counterparts allowing you to train another model to undo it.

Sure you've set up a speedbump but this is hardly a solution.

[-] egeres@lemmy.world 1 points 1 year ago

No! It's not using an internal exploit, it's rather about finding a way to visually represent almost the same image, but instead using latent features with different artists (e.g, which would confuse a dreambooth+lora training), however, the method they proposed is flawed, I commented more on https://lemmy.world/comment/4770884

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[-] TropicalDingdong@lemmy.world 4 points 1 year ago

The AI can have some NaN, as a treat..

[-] Smoogs@lemmy.world 2 points 1 year ago

As a topping on some Pi

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this post was submitted on 23 Oct 2023
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