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For many years, technology companies struggle between two desires: importance Record user information to protect their privacy, and the importance of recognize the worst atrocities on their platforms. Apple is now launching a new way to record needles, recognizing child pornography stored on iCloud without – presumably – introducing new forms of privacy. In doing so, it is also carried out among private professionals and photographers who see its work as a new solution for those who see it as a dangerous approach. government oversight.
Today Apple has introduced new technologies in iMessage, iCloud, Siri, and Search, all of which the company claims were designed to prevent child abuse. The new setup in the family iCloud account will apply machine learning to view pornographic images posted in iMessage. The device can also block images from being sent or received, displaying alerts, and sometimes warning parents that a child has seen or sent them. I am now looking for a warning if they would find out that someone is hunting or viewing child abuse tools, also known as CSAM, and giving them access to their behavior or sharing their findings.
But with Apple’s latest features – as well as the latest anti-iPhones, iPads, and Macs now include a new way of looking at photos posted on iCloud in the US on popular child abuse photos. This feature will use the encryption that takes place on the device and possibly on Apple’s servers to identify the images and report them to the National Center for Missing and Exploited Children or NCMEC, and ultimately US law enforcement.
Apple claims that there is nothing new about CSAM encryption that puts users at risk — that even iCloud identifiers will use a slower way to prevent Apple’s system from accessing non-CSAM images. The plan was developed and illuminated in collaboration with Stanford University author Dan Boneh, and Apple’s announcement on the issue also includes the approval of some well-known professional photographers.
“I believe the Apple PSI program provides a link between privacy and requirements, and will go a long way in identifying the content of CSAM while maintaining user privacy and keeping false positives,” said Benny Pinkas, Israeli Bar-Ilan University correspondent who reviewed Apple’s performance. , wrote in a statement to WIRED.
Child protection groups, too, have praised Apple’s performance, saying it has limits that “bring us closer to justice for survivors whose critical times are being circulated online,” as Julie Cordua, director of child protection group Thorn wrote. in their statement to WIRED.
Cloud cloud holders from Microsoft to Dropbox already process images that are sent to their servers. But by adding image analysis to users’ devices, some critics say Apple has also taken part in looking at a new way of destroying and reducing its privacy capabilities under security surveillance.
“I can’t prevent child abuse. But the idea of your device constantly scanning your site and monitoring you for certain irregularities and informing supervisors is slowing down, “said Nadim Kobeissi, author and founder of Paris – a program developed by the cryptographic Symbol Software.” if this continues. “
Apple’s new technology does not directly monitor users’ photos, either on their devices or on Apple’s iCloud server. Instead it is a clever new way of creating images so that Apple’s app will no longer view the images unless they have already determined to share them on several CSAM images stored by the user. The machine captures the “hash” of all the images that the user sends to iCloud, and converts the files into text strings that come from those images. Then, like the old CSAM recognition systems such as PhotoDNA, it compares them to a large group of well-known CSAM images provided by NCMEC for each game.
Apple is also using a new technique called NeuralHash, which the company claims can look like images even if they change such as planting or painting. Most importantly to avoid evasion, its machines do not download which NCMEC speeds up on the user’s device. Instead, it uses other secrets to turn them into a so-called “blind repository” that is downloaded to users’ phones or PCs, which contain seemingly insignificant cables from the same source. This stain prevents any user of the headers and uses them to distort its appearance.
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