[JacobiX]

The problem with Apple’s approach to CSAM is that they use Neuralhash. Unlike other simple perceptual hashes, the failure modes and the collisions using this method are not well understood. I repeat here my previous comment in another thread : they use NN and triplet embedding loss, the exact same techniques used by neural networks for face recognition, so maybe the same shortcomings would apply here. For example a team of researchers found a 'Master Faces' that can bypass over 40% of Facial ID. Now suppose that you have such an image in your photo library, it would generate a ton of false positives and not just a single match with the NCMEC database.