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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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[-] MargotRobbie@lemmy.world 331 points 1 year ago

It's made by Ben Zhao? You mean the "anti AI plagerism" UChicago professor who illegally stole GPLv3 code from an open source program called DiffusionBee for his proprietary Glaze software (reddit link), and when pressed, only released the code for the "front end" while still being in violation of GPL?

The Glaze tool that promised to be invisible to the naked eyes, but contained obvious AI generated artifacts? The same Glaze that reddit defeated in like a day after release?

Don't take anything this grifter says seriously, I'm surprised he hasn't been suspended for academic integrity violation yet.

[-] p03locke@lemmy.dbzer0.com 31 points 1 year ago

who illegally stole GPLv3 code from an open source program called DiffusionBee for his proprietary Glaze software (reddit link), and when pressed, only released the code for the “front end” while still being in violation of GPL?

Oh, how I wish the FSF had more of their act together nowadays and were more like the EFF or ACLU.

[-] MargotRobbie@lemmy.world 28 points 1 year ago

You should check out the decompilation they did on Glaze too, apparently it's hard coded to throw out a fake error upon detecting being ran on an A100 as some sort of anti-adversarial training measure.

[-] vidarh@lemmy.stad.social 11 points 1 year ago

That's hilarious, given that if these tools become remotely popular the users of the tools will provide enough adversarial data for the training to overcome them all by itself, so there's little reason to anyone with access to A100's to bother trying - they'll either be a minor nuisance used a by a tiny number of people, or be self-defeating.

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this post was submitted on 23 Oct 2023
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