3 ms·

Going by what some people on Reddit say, it seems to be the case. https://old.reddit.com/r/datahoarder/search?q=porn&restrict_sr=on https://old.reddit.com/r/dat

Going by what some people on Reddit say, it seems to be the case. https://old.reddit.com/r/datahoarder/search?q=porn&restrict_sr=on https://old.reddit.com/r/datahoarder/search?q=porn&restrict_... Probably not the weird image I posted, which looks obviously suspicious. But maybe someone will make a program to find "cleaner" hash collisions that don't look suspicious.

nullc 5y ago
https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issues/1#issuecomment-902977931 https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX/issue... I posted some examples that look like totally normal images, they're no harder to produce, you just need to noise-shape the gradient descent so that the introduced noise has a spectrum similar to the image. E.g. just feeding back a gaussian highpassed version of the error signal is sufficient.