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Can sombebody explain this: "A: It does not matter whether Apple Face ID "learns" new images of the face, since it will not affect the truth that Apple Face ID
by dep_b 9y ago
Can sombebody explain this:
"A: It does not matter whether Apple Face ID "learns" new images of the face, since it will not affect the truth that Apple Face ID is not an effective security measure. However, we knew about this "learning", thus, to give a more persuasive result, we applied the strict rule of "absolutely no passcode" when crafting the mask."
Does it mean passcode was completely off and the phone would not lock itself after a few failed attempts? Because there's a difference between trying until it works and getting a mask within 24 hours that does not fail three times.
- ComodoHacker 9y agoThey don't answer directly and clearly to almost every question, or simply evade them like this first one. Weird, especially considering they've written both questions and answers.
- noitsnot 9y agoIt most definitely matters. I have read Face ID tries to learn more about your face if you unlock it with the passcode after having issues unlocking with your face. What are the chances it learned the mask?
- dep_b 9y agoThat's a super interesting thought. Face ID is a bit of a black box. Though I'm not trying to defend it to death, I can imagine it's better than all of the face scanners before it but far from super secure.
- sangnoir 9y ago> It does not matter whether Apple Face ID "learns" new images of the face, since it will not affect the truth that Apple Face ID is not an effective security measure. They are saying the question is moot. > However, we knew about this "learning" but they are going to answer the question regardless > thus, to give a more persuasive result, we applied the strict rule of "absolutely no passcode" when crafting the mask. They ensured that the mask didn't get integrated into Apple's learning data by never entering the pin. The understanding is that whenever a failed face scan is followed by a correct pin, the face scan is added to learning data (since the assumption is it belongs to the legit user).