this post was submitted on 19 Dec 2023
667 points (97.6% liked)
Technology
59719 readers
2776 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 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
There's probably lots of ways, look up adversarial samples in machine learning and poisoning attacks
https://christophm.github.io/interpretable-ml-book/adversarial.html
https://www.computer.org/csdl/magazine/co/2022/11/09928202/1HJuFNlUxQQ
Thank you for your contribution, I was referring to a practical way (script, binary, ...) to achieve this not academic literature, I don't have much time to invest in this and my IT level is insufficient
Any specific tools will require knowledge of the system you're targeting, so I don't expect to see many public ML poisoning tools targeting anything but open source ML libraries, but adversarial sample tools to fool classifiers (including repainting stuff like those face transformation filters) might get more common because it's much much easier to test