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Data poisoning: how artists are sabotaging AI to take revenge on image generators
(theconversation.com)
this post was submitted on 18 Dec 2023
309 points (93.3% liked)
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This doesn't actually work. It doesn't even need ingestion to do anything special to avoid.
Let's say you draw cartoon pictures of cats.
And your friend draws pointillist images of cats.
If you and your friend don't coordinate, it's possible you'll bias your cat images to look like dogs in the data but your friend will bias their images to look like horses.
Now each of your biasing efforts become noise and not signal.
Then you need to consider if you are also biasing 'cartoon' and 'pointillism' attributes as well, and need to coordinate with the majority of other people making cartoon or pointillist images.
When you consider the number of different attributes that need to be biased for a given image and the compounding number of coordinations that would need to be made at scale to be effective, this is just a nonsense initiative that was an interesting research paper in lab conditions but is the equivalent of a mouse model or in vitro cancer cure being taken up by naturopaths as if it's going to work in humans.