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Show HN: Fake or real? Try our AI image detector

trial.nuanced.dev

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Re: Show HN: Fake or real? Try our AI image detector

#41

I think iPhones do some pretty complex image processing, and other brands of phones go even farther. I believe there have been instances of phones adding in completely new details (although maybe I hallucinated that detail). What’s the expected result and also what should we put as a “true” answer if we take a picture with our phones and upload it?

I think the example of a person in the background's face was replaced with a leaf was from an iPhone trying to clean up the image and got confused.

Of course my favorite is the phone that recognized a humanoid shape and placed Ryan Gosling in the image.

https://petapixel.com/2020/08/17/gigapixel-ai-accidentally-a...

Re: Show HN: Fake or real? Try our AI image detector

#46

I uploaded a drawing I had sitting around my desktop and it was 75% confident that it was AI. It's one I did myself in Adobe Illustrator so I guess I can say I'm 100% confident that it was AI, but a different expansion of that abbreviation.

The real AI was the Adobe software that Figma obsoleted along the way :)

Re: Show HN: Fake or real? Try our AI image detector

#47

I think iPhones do some pretty complex image processing, and other brands of phones go even farther. I believe there have been instances of phones adding in completely new details (although maybe I hallucinated that detail). What’s the expected result and also what should we put as a “true” answer if we take a picture with our phones and upload it?

In the case of pictures taken with your phone, the "true" answer would be "real" as it's not a synthetically generated image, just some post-processing/cleaning-up. The overall classification is going to be affected by how much of the image has been altered, if it's only a small part, it shouldn't effect the overall outcome too much.

Re: Show HN: Fake or real? Try our AI image detector

#48

I was thinking about this the other day. The issue is if you have an imperfect test to detect fakes, it gives even more credibility to fakes that pass the test. If there are no tests however, then were left to question the validity of everything

What makes it even more of an issue is that's comparatively easy to generate a 1000 images of a scene and push them all through until you get one that happens to line up in such a way as to pass through the detection (as compared to having to physically paint 1000 scenes).

Right exactly, much like p hacking with studies. Publish enough research papers and you get significant results by chance, and it gets into a headline as "Science shows..." and people believe it.

Unfortunately in this space the amount of deepfakes we can create is massive, so even a system thats 99.999% accurate will leave a lot of fakes through and grant them credibility.

I think we have to focus on an alternative path where we assume any digital content can be fake, unless its creation is provable through some verified sources or methods.

Maybe it's possible to embed some kind of digital fingerprint into images? So as to say, this image was definitely taken by this camera. Pretty sure something like this has been done.

Re: Show HN: Fake or real? Try our AI image detector

#49

I think iPhones do some pretty complex image processing, and other brands of phones go even farther. I believe there have been instances of phones adding in completely new details (although maybe I hallucinated that detail). What’s the expected result and also what should we put as a “true” answer if we take a picture with our phones and upload it?

I think the example of a person in the background's face was replaced with a leaf was from an iPhone trying to clean up the image and got confused. Of course my favorite is the phone that recognized a humanoid shape and placed Ryan Gosling in the image. https://petapixel.com/2020/08/17/gigapixel-ai-accidentally-a...

If the iPhone one is the one I’m thinking of, it turns out the leaf was actually there.

https://twitter.com/mitchcohen/status/1476951534160257026

Re: Show HN: Fake or real? Try our AI image detector

#50

Earlier quoted context omitted.

What makes it even more of an issue is that's comparatively easy to generate a 1000 images of a scene and push them all through until you get one that happens to line up in such a way as to pass through the detection (as compared to having to physically paint 1000 scenes).

Right exactly, much like p hacking with studies. Publish enough research papers and you get significant results by chance, and it gets into a headline as "Science shows..." and people believe it. Unfortunately in this space the amount of deepfakes we can create is massive, so even a system thats 99.999% accurate will leave a lot of fakes through and grant them credibility. I think we have to focus on an alternative p…

I'm not even sure the "digital fingerprint" is entirely helpful. Have you seen the moon issue? https://www.reddit.com/r/Android/comments/11nzrb0/samsung_sp...
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