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by m00dy 24 days ago
It’s definitely hackable, Some of our engineers worked on this long time ago

https://deepwalker.xyz/blog/bypassing-synthid-in-gemini-phot...

3 comments

I'm shocked that someone would write a blog post like this in which they openly admit to something that is widely understood to be fraud. Even if I'm sympathetic to why this individual chose to do this, and the technical side is interesting, I think the decision to just publicly tell a story in which you criminally defraud the villain is not a choice I'd ever make.
It appears that this company already does fraud so they're most likely comfortable with fraud. It seems normal in isolation, but from an outside lense it's crazy.
Sorry, but what you’re saying goes beyond the kind of free expression I would respect. Can you tell us what fraud you believe we’re committing, under what law, and based on what evidence?

This blog post clearly shows that Deepwalker can break SynthID, which is a closed-source watermarking system.

Its the framing story that implies them committing fraud.

> I immediately said yes, even though I wasn't entirely sure. They wanted to play games, so I decided to play along.

The article never says the generated images were used to make a fraudulent claim, but its implied by the juxtaposition.

A few words to indicate that the challenge to break SynthID was for their own amusement would break this implication.

I mean it's on your own page: https://deepwalker.xyz/use-cases, while not particulary 'fraud', it's definitely in the grey area of what is allowed and definitely breaks ToS.

I guess it would be more accurate to say that it enables fraud. It's the same way proxy companies advertise themselves as "validation and data gathering" when in real-world use they're used for botting, ad farms, spamming engagement etc.

I completely disagree but my full answer gets flagged for no reason. Therefore, this is my last comment on this.
Conducting insurance fraud? What a usecase.
You'd be surprised how many people use AI to commit such insurance fraud.
it would be nice to show an amplified pixelwise difference between the before and after images