Nah, flipping the image would completely bypass a simple hash map
From my very limited understanding it’s some special hash function that’s still irreversible but correlates more closely with the material in question, so an AI trained on those hashes would be able to detect similar images because they’d have similar hashes, I think
could you provide a source for this? that spunds very counterintuive and bad for the hash functions. especially as the whole point of AI training in this case is detecting new images. And say a small boy at the beach wearing speedos has a lot of similiarity to a naked boy. So looking by some resemblance in the hash function would require the hashes to practically be reversible.
That wouldn’t be ai though? That would just be looking up hashes.
You’re almost there…
Nah, flipping the image would completely bypass a simple hash map
From my very limited understanding it’s some special hash function that’s still irreversible but correlates more closely with the material in question, so an AI trained on those hashes would be able to detect similar images because they’d have similar hashes, I think
Perceptual hashes, I think they’re called
could you provide a source for this? that spunds very counterintuive and bad for the hash functions. especially as the whole point of AI training in this case is detecting new images. And say a small boy at the beach wearing speedos has a lot of similiarity to a naked boy. So looking by some resemblance in the hash function would require the hashes to practically be reversible.
Not all hashes are for security. They’re called perceptual hashes
Probably a case of definitional drift of the word, because it probably should be just for the security kind.
I’m no expert, but we use those kind of hashes at my company to detect fraudulent software Here’s a Wikipedia link: https://en.m.wikipedia.org/wiki/Locality-sensitive_hashing