this post was submitted on 21 Jan 2024
824 points (94.9% liked)

Technology

60098 readers
1852 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 9 points 11 months ago (1 children)

A Variational AutoEncoder is a kind of AI that can be used to compress data. In image generators, a VAE is used to compress the images. The actual image AI works on the smaller, compressed image (the latent representation), which means it takes a less powerful computer (and uses less energy). It's that which makes it possible to run Stable Diffusion at home.

This attack targets the VAE. The image is altered so that the latent representation looks like a very different image, but still roughly the same to humans. The actual image AI works on a different image. Obviously, this only works if you have the right VAE. So, it only works against open source AI; basically only Stable Diffusion at this point. Companies that use a closed source VAE cannot be attacked.

I guess it makes sense if your ideology is that information must be owned and everything should make money for someone. I guess some people see cyberpunk dystopia as a desirable future. It doesn't seem to be a very effective attack but it may have some long-term PR effect. Training an AI costs a fair amount of money. People who give that away for free probably still have some ulterior motive, such as being liked. If instead you get the full hate of a few anarcho-capitalists that threaten digital vandalism, you may be deterred. Well, my two cents.

[–] [email protected] 3 points 11 months ago

Thank you for explaining. I work in NLP and are not familiar with all CV acronyms. That sounds like it kind if defeats the purpose if it only targets open source models. But yeah, makes sense that you would need the actual autoencoder in order to learn how to alter your data such that the representation from the autoencoder is different enough.