264
Data poisoning: how artists are sabotaging AI to take revenge on image generators
(theconversation.com)
this post was submitted on 18 Dec 2023
264 points (93.7% liked)
Technology
59438 readers
4317 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
companies would stumble all over themselves to figure out how to get it to stop doing that before going live. source: they already are. see bing image generator appending "ethnically ambiguous" to every prompt it receives
it would be a herculean if not impossible effort on the artists' part only to watch the corpos scramble for max 2 weeks.
when will you people learn that you cannot fight AI by trying to poison it. there is nothing you can do that horny weebs haven't already done.
It can only target open source, so it wouldn't bother corpos at all. The people behind this object to not everything being owned and controlled. That's the whole point.
The Nightshade poisoning attack claims that it can corrupt a Stable Diffusion in less than 100 samples. Probably not to NSFW level. How easy it is to manufacture those 100 samples is not mentioned in the abstract
yeah the operative word in that sentence is "claims"
I'd love nothing more than to be wrong, but after seeing how quickly Glaze got defeated (not only did it make the images nauseating for a human to look at despite claiming to be invisible, not even 48 hours after the official launch there was a neural network trained to reverse its effects automatically with like 95% accuracy), suffice to say my hopes aren't high.
You seem to have more knowledge on this than me, I just read the article 🙂