neural-hash-collider

text (for example, a close-up). Targeted attacks could be launched on unsuspecting victims as simply as sending them an image. If their app is configured to auto-save to iCloud - as some are by default, and as many are configurable to be - the image will then get automatically flagged as a match, and may well potentially pass a human review - because the image may indeed look just like CP - and an innocent person, who may not even be aware of the presence of the image in their iCloud library at this point, may get visited by the police. That in itself is bad enough. However it gets worse - do bear in mind that "the police" is not an equivalent concept across nations, yet iPhones are ubiquitously used across the world. In certain countries, a "visit from the police" over such automatically-flagged content could well result in presumption of guilt to the point of immediately administered punishment and a destroyed innocent life. In China for example, conviction rates are routinely 99.99% - being accused of a crime there is equivalent to being convicted, and that's just one major country containing well over 100 million iphone users. Apple is demonstrating not only gross incompetence in this design of this "system", but vagrant disregard for human rights, along with utterly destroying their own long-cultivated pro-privacy stance. It's a disaster for them and their customers in every possible way it could be.

hash database. You will even be able to tell precisely when this happens, since you have the client-side half of the PST database, and you can execute the NeuralHash algorithm. You can start circulating the meme before or after this step. Repeat until you have circulated enough photos to make sure that many people in the targeted group have exceeded the threshold. Note that the memes will trigger automated CSAM matches, and pass the Apple employee's visual inspection: due to the safety voucher system, Apple will not inspect the full-size images at all, and they will have no way of telling that the NeuralHash is a false positive. [1] https://github.com/anishathalye/neural-hash-collider [2] https://embracethered.com/blog/posts/2020/husky-ai-image-res... [3] https://bdtechtalks.com/2020/08/03/machine-learning-adversar... [4] https://graphicdesign.stackexchange.com/questions/106260/ima...