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> That Can Bypass Over 40% Of Facial ID Authentication Systems Turns out to actually mean "three CNN-based face descriptors: SphereFace, FaceNet and Dlib", whi

> That Can Bypass Over 40% Of Facial ID Authentication Systems Turns out to actually mean "three CNN-based face descriptors: SphereFace, FaceNet and Dlib", which best I can tell are two academic projects and an open-source library. By far the largest deployed facial authentication system is of course Face ID, which this has zero/zilch/no chance at all of working against. What a terrible, terrible headline.

diegoperini 5y ago
So the mentioned 40% is a lie? Otherwise the headline seems accurate.
- peteretep 5y ago
  Also the description "facial ID authentication systems". An accurate headline would be "we were able to confuse some open-source face recognition systems"
- wishawa 5y ago
  They're beating facial recognition systems, not facial authentication systems.
  - lmilcin 5y ago
    It is practically the same assuming the output from facial recognition is then fed as input to authentication.
    - webmaven 5y ago
      That's a false assumption. 2D facial recognition isn't an input to 3D facial authentication.
      - lmilcin 5y ago
        We are cheating our eyes and brains with 3D goggles. Don't you think you are too enthusiastic saying 3D facial authentication cannot be fooled?
        webmaven 5y ago
        > Don't you think you are too enthusiastic saying 3D facial authentication cannot be fooled? Where did I say that?
lmilcin 5y ago
So I understand the first part of your argument, and it may be very bad headline, I agree. But to say it has no chance to work against Face ID is just saying YOU don't know how to make it work. It is short sighted, to say it delicately. An intelligent enough person will understand there are millions even more intelligent and highly motivated people and there is no way to be sure about what they can't do short of breaking physics laws.
- rusticpenn 5y ago
  There is a huge advantage in getting better patterns when you get to use depth data ( like face id does).
  - lmilcin 5y ago
    The question is not whether you get advantage, but whether it makes it impossible to break. I am responding to this comment: "By far the largest deployed facial authentication system is of course Face ID, which this has zero/zilch/no chance at all of working against." "zero", "zilch", "no chance" -- suggest overconfidence to me. This is not healthy when discussing any authentication system and especially one based on trained model where we don't exactly understand relation between input and output.
    - rusticpenn 5y ago
      It doesn't have to be impossible, It has to be harder than a complex password.
- MathYouF 5y ago
  The model doesn't even output the data in the correct format, rgbdit (depth, infrared, time). So his statement is entirely correct. This model has absolutely no chance of fooling the current most popular facial detection system. It creates a key that doesn't even fit in the lock, much less have the correct pin heights. If your point is that this approach and architecture might contribute to a model that can beat FaceID, that's entirely valid to say as well.
- 5y ago
make3 5y ago
do you know how face id works? or this is just a.. gut feeling

diegoperini 5y ago

So the mentioned 40% is a lie? Otherwise the headline seems accurate.

peteretep 5y ago
Also the description "facial ID authentication systems". An accurate headline would be "we were able to confuse some open-source face recognition systems"
wishawa 5y ago
They're beating facial recognition systems, not facial authentication systems.
- lmilcin 5y ago
  It is practically the same assuming the output from facial recognition is then fed as input to authentication.
  - webmaven 5y ago
    That's a false assumption. 2D facial recognition isn't an input to 3D facial authentication.
    - lmilcin 5y ago
      We are cheating our eyes and brains with 3D goggles. Don't you think you are too enthusiastic saying 3D facial authentication cannot be fooled?
      - webmaven 5y ago
        > Don't you think you are too enthusiastic saying 3D facial authentication cannot be fooled? Where did I say that?

lmilcin 5y ago

So I understand the first part of your argument, and it may be very bad headline, I agree. But to say it has no chance to work against Face ID is just saying YOU don't know how to make it work. It is short sighted, to say it delicately. An intelligent enough person will understand there are millions even more intelligent and highly motivated people and there is no way to be sure about what they can't do short of breaking physics laws.

rusticpenn 5y ago
There is a huge advantage in getting better patterns when you get to use depth data ( like face id does).
- lmilcin 5y ago
  The question is not whether you get advantage, but whether it makes it impossible to break. I am responding to this comment: "By far the largest deployed facial authentication system is of course Face ID, which this has zero/zilch/no chance at all of working against." "zero", "zilch", "no chance" -- suggest overconfidence to me. This is not healthy when discussing any authentication system and especially one based on trained model where we don't exactly understand relation between input and output.
  - rusticpenn 5y ago
    It doesn't have to be impossible, It has to be harder than a complex password.
MathYouF 5y ago
The model doesn't even output the data in the correct format, rgbdit (depth, infrared, time). So his statement is entirely correct. This model has absolutely no chance of fooling the current most popular facial detection system. It creates a key that doesn't even fit in the lock, much less have the correct pin heights. If your point is that this approach and architecture might contribute to a model that can beat FaceID, that's entirely valid to say as well.
5y ago

make3 5y ago

do you know how face id works? or this is just a.. gut feeling