4 ms·

I don't see how. They're hashing on feature space (so trivial cropping and such doesn't defeat this) but they have two totally separate methods of matching tho

• jchw 5y ago
  Apparently the images in question would get sent to the server, and all calculation happens there. > In a call with reporters regarding the new findings, Apple said its CSAM-scanning system had been built with collisions in mind, given the known limitations of perceptual hashing algorithms. In particular, the company emphasized a secondary server-side hashing algorithm, separate from NeuralHash, the specifics of which are not public. If an image that produced a NeuralHash collision were flagged by the system, it would be checked against the secondary system and identified as an error before reaching human moderators. https://www.theverge.com/2021/8/18/22630439/apple-csam-neuralhash-collision-vulnerability-flaw-cryptography https://www.theverge.com/2021/8/18/22630439/apple-csam-neura... For one reason or another Apple really wants to create this precedent, so it’s only natural they’re doing every last thing to make the feature hard to defeat.
  • ec109685 5y ago
    Hard to exploit is better phrasing.