If you replace all your online images then ai can't look at it. No one else can either, but you stop ai I guess.
They're talking about using this: https://nightshade.cs.uchicago.edu/
Isn't Nightshade defeated by just applying an anti aliasing filter to the image?
Yeah, this is some "I don't consent" FB post level of stupid shit. 🤷🏼♂️
Even I'd it's not, it's using a pattern to "defeat" something that is mostly pattern recognition.
Makes sense. There will definitely be an adversarial situation going forward.
Ever heard of the red queen hypothesis?
Nope
"it takes all the running in the world just to stay in place."
Normally refers to biology arms races, where a poisonous animal and a poison resistant predator play tit for tat, making stronger poisons and stronger resistances to try and outplay the other just to stay alive.
Now, artists and AI are doing the same. AI wants to steal art without paying for it, artists dont want their art stolen. Artists come up with little tricks to poison the data set if their art is used, AI comes up with little tricks to strip the poison from the data.
The dance continues, the dancers straining and struggling, all to stand still.
Ah, similar struggle my dad described when negotiating sales of complex systems, both parties start with unrealistic demands, just to have stuff to give away to the other side during negotiations.
He has told me several times that he just wishes that the process was way more streamlined and that the parties could start closer to the realistic goal.
He has since retired, so he no longer needs to deal with it...
I hope content hosting services start applying it by default.
I believe this is suggesting an AI poisoning edit, not removing the image entirely. It should be mostly imperceptible. Plus, you could update with newer methods as they come out.
You could generate a different temporary img url every time and nightshade it after the link expires.
You could generate a different temporary img url every time and nightshade it after the link expires.
I’m only vaguely familiar with ML datasets and have only trained on local data, but I’ve never heard of this? Can anyone provide some evidence this is the case?
Edit: Looking further I can still only find datasets containing the image files, ex.
LAION is one of the big dogs (https://laion.ai/). Their datasets consist of urls and metadata.
Ah perfect, thank you so much!
https://github.com/rom1504/img2dataset
Seems to be the main tool, I’ll have something new to explore this weekend.
LAION-5B is notoriously badly labeled that having a few poisoned data, even if it worked as advertised, would literally not matter at all.
Plus, it's not doing anything to existing diffusion models that used LAION-5B, since many artists are under the mistaken impression that the models will constantly scrapes the Internet for new images and train on them automatically, when training a model to learn new information without catastrophic forgetting is almost impossible (hence, workarounds like LoRAs and such).
Again, a reminder that the creator of Nightshade and Glaze, Ben Zhao of UChicago, is literally a code thief who stole GPL code for his closed source product (warning: reddit link) to scam artists who doesn't understand the tech behind ML models.
Tell me you have no idea how it works without telling me.
Edit: sorry that's unclear, I mean the OP on mastodon not you specifically
"tell me without telling me" needs to fucking die
tell me you care too much without telling me
Could also Goatse them
This is the preferred method
c/foundsatan
Fans of the actual content might have some issue with it
TIL about Glazing and Nightshade. Thanks!
They don't work as advertised.
I'm still confused.
Hmm, looks like it would also mess up classification, recommendation, captioning, etc models using these images. Maybe image and duplicate search as well? Maybe could be used to get around automated copyright strikes?
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