606
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 13 Mar 2024
606 points (95.1% liked)
Technology
58763 readers
3558 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
Quite the spicy one aren't you. I see where you get your username from.
But yes, they exist, and so does the ability to defeat them by training the detection data into a new undetected model. Cat and mouse game, as they say.
Robust today, defeated ~~tomorrow~~ today.
So, what you're saying is you don't really understand how data security works then.
Because it's never a 'one and done', it's ALWAYS a cat and mouse game, ALWAYS.
Which is why antivirus companies push definition updates.
And now we do the same with AI detectors, or they become irrelevant.
This is where I get to lol and say you don't understand AI.
When a kernel privesc vuln 0day is found and reported or caught in a dump, it gets fixed. Unless it was improperly fixed, that particular vulnerability can't be exploited again.
But when it comes to AI, a GAN's job is to take the 'vulnerability' that was 'fixed' and train on it to exploit it again.
And again.
And again.
And again.
https://en.m.wikipedia.org/wiki/Generative_adversarial_network
It's funny how people can just link to a wikipedia article about a ten year old thought experiment and think its some kind of mic drop moment. The current AI paradigm is starting to hit its singularity curve and hardly anything that old is anything more than a novelty and largely not applicable to current models, ESPECIALLY when it comes to modeling,
We aren't seeing this kind of iteritave adversity being used in actual real world attacks, and it is largely useless to train on a patched vulnerability.
But I'm sure you already knew that, maybe your testing me?
...
https://github.com/search?q=generative+adversarial+network&type=repositories&s=updated&o=desc
Do you remember last year when OpenAI pulled its own AI detection tool because it was performing so poorly?
I forgot about that, but this article from 6 months ago comparing the effectiveness of major AI detection tools reminded me.