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iOS-Runtime-Headers reviews and mentions
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Android Devices with Backdoored Firmware Found in US Schools
Sure, but private methods are another vector - tracking and bypassing the IDFA and potentially acting as official Apple Apps to use/abuse things like Carrier/SIM info[0], updating the wallpaper for the user[1], accessing call history[2], etc.
0: https://github.com/nst/iOS-Runtime-Headers/blob/fbb634c78269...
1: https://github.com/nst/iOS-Runtime-Headers/issues/32
2: https://github.com/nst/iOS-Runtime-Headers/tree/fbb634c78269...
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Everything we know about the Apple Neural Engine (ANE)
My question too. This semi-answer on the page seems to contradict itself (source: https://github.com/hollance/neural-engine/blob/master/docs/p... ):
"> Can I program the ANE directly?
Unfortunately not. You can only use the Neural Engine through Core ML at the moment.
There currently is no public framework for programming the ANE. There are several private, undocumented frameworks but obviously we cannot use them as Apple rejects apps that use private frameworks.
(Perhaps in the future Apple will provide a public version of AppleNeuralEngine.framework.)"
The last part links to this bunch of headers:
https://github.com/nst/iOS-Runtime-Headers/tree/master/Priva...
So might it be more accurate to say you can program it directly, but won't end up with something that can be distributed on the app store?
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The primary programming language of iOS-Runtime-Headers is Objective-C.
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