The paper you linked doesn’t reveal blurred versions of the images being hashed. It does train a classifier to determine which of 1,000 ImageNet classes an image belongs to, which “achieved a top-1 test accuracy of 4.34%”.
replyThen, that’s the wrong paper. I’ll find it and link it as a reply to this comment. Probably tomorrow morning.
reply> to reveal blurred version of the images being hashed
replySkimmed your linked paper. It seems they were able to classify hashes up to ~8% top-1 accuracy and ~30% top-10. Not exactly a blurred version, or any images at all.
So for example, they can say that you probably have images of trees, or images of buildings, but without much other data & very low accuracy.
I'd still be a lot more concerned about them simply flagging political images rather than trying to get a broad understanding of what type of photos I have
It starts at a broad understanding and ends with people permanently giving up their right and ability to keep rogue corporate governments in check.
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