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Discussion (38 Comments)Read Original on HackerNews
You will not build a perfect system, or even something near perfect. The best you're going to do is make it so that it's hard to casually present AI photos as real, leaving only the cases where it really matters. In the "best" case, you've just made the public more trusting of photos in general, so that when there's actual money or power on the line that makes jumping through the hoops to fake authenticity worth it, the public is more susceptible.
The best outcome at this point is for everyone to get on the same page that photos have roughly the same probative value now as drawings. Poorly thought out snake oil efforts to prove authenticity are only going to delay that.
This is ridiculous.
At over a decade old, still prescient as ever: https://www.youtube.com/watch?v=HUEvRyemKSg
I don't think completely solving this sort of problem is even possible.
The analog hole is alive and well:)
I have ordered a faulty Sony A7 IV motherboard, but due to its faulty-ness and the lack of the rest of the camera, I'm not sure how far I'll be able to get with it.
And, Apple could choose to integrate a LiDAR depth map into the signed photo as a mitigation against the analog attacks (eg. pictures of screens).
The provenance “proof” these approaches provide is very tenuous and nowhere near the “this is a real photo of a real world event taken by a real camera and not an AI image” proof that marketing types like to push.
Apple doesn’t want a PR disaster where some crazy image is totally fake but becomes world news because it is “cryptographically signed as being from a real iPhone so it must be real!”
>Images captured with an opt-in Reference mode can be authenticated to confirm they were taken with an iPhone. Authenticating is done by tapping the Reference badge on the image, which sends the raw image, sensor signatures, capture time frame, and the unique hardware identifiers of the sensor to Apple's Private Cloud Compute (PCC) servers. PCC uses the information to determine whether the camera captured the photo, gives it a unique ID, and then returns an authenticated version to the user's device.