> The second protection [against mis-inclusion of non CSAM hashes] is human review: there is no automated reporting in Apple’s system. All positive matches must be visually confirmed by Apple as containing CSAM before Apple will disable the account and file a report with the child safety organization.
I don't understand this at all. As I understand it, part of the problem is that — in the US — Apple isn't legally allowed to review, transmit or do anything else with suspected CSAM images, so they can't have a manual review process (or even check that their neural hashing is working as expected on the real dataset).
Does anyone else have any idea of what this is trying to describe?
If Apple really are somehow reviewing flagged photos to confirm that they're CSAM and not maliciously flagged files before sending any reports, then that does make the system substantially more resilient to Five Eyes abuse (not that I wish that job on anyone).
Edit: There's more context later in the document
> First, as an additional safeguard, the visual
derivatives themselves are matched to the known CSAM database by a second, independent perceptual hash. This independent hash is chosen to reject the unlikely possibility that the match threshold was exceeded due to non-CSAM images that were adversarially perturbed to cause false NeuralHash matches against the on-device encrypted CSAM database. If the CSAM finding is confirmed by this independent hash,
the visual derivatives are provided to Apple human reviewers for final confirmation.
This is more confusing: visually comparison using a second perceptual hash doesn't actually to provide any protection against mis-inclusion of non-CSAM images: it just double-checks that the image really was a match in the database (ie. protects against hash-collision errors), but it does't check that the database contained actual CSAM.
Apple explicitly says that this process protects against mis-inclusion though, which doesn't make sense to me yet.