41–50 of 69 posts
Earlier quoted context omitted.
Sounds like you should maybe retrain it. My iPhone 6, which has the older sensor tech is fine: unless my hands are wet
This is the problem I have. If there’s just a little sweat on my finger, it stops working.
Disclaimer. My team at Neurotechnology develops fingerprint recognition algorithm VeriFinger which was used in this publication to look for vulnerabilities of small area fingerprint sensors.
Really interesting work. Snippet from the paper's summary for the lazy: > The proposed method [...] is based on training a Generative Adversarial Network on a set of real fingerprint images. Stochastic search [...] is then used to search for latent input variables to the generator network that can maximize the number of impostor matches as assessed by a fingerprint recognizer. So I hadn't heard about "MasterPrints";…
Earlier quoted context omitted.
How could DNA be non-unique, except for identical twins or clones?
There's a 1 in 2^46 chance that siblings born separately will have mostly identical DNA, minus a few random mutations.
I'm fine with "casual" security like my fingerprints for my phone and laptop as primary authentication. It annoys me I have to enter a password first from a user experience perspective. There's definitely need for very hardened phones from physical attack (journalists, canaries, whistleblowers, etc). I'm just not that important so I wish I could choose my security level.
Really interesting work. Snippet from the paper's summary for the lazy: > The proposed method [...] is based on training a Generative Adversarial Network on a set of real fingerprint images. Stochastic search [...] is then used to search for latent input variables to the generator network that can maximize the number of impostor matches as assessed by a fingerprint recognizer. So I hadn't heard about "MasterPrints";…
Presumably an eigen-face acts as a master-face of sorts?
A real "master face" would be a face that looks like many people, and it seems like you could try to obtain faces like that by playing a two-player game between a recognizer and a face generator (as is done when training GANs).
Really interesting work. Snippet from the paper's summary for the lazy: > The proposed method [...] is based on training a Generative Adversarial Network on a set of real fingerprint images. Stochastic search [...] is then used to search for latent input variables to the generator network that can maximize the number of impostor matches as assessed by a fingerprint recognizer. So I hadn't heard about "MasterPrints";…
Presumably an eigen-face acts as a master-face of sorts?
Facial matching usually reduces search space by assuming something about the input. I.e. you don't match a face against the whole world, just the friends of a person uploading a photo. Otherwise you'd run into matching a similar face to some stranger on the other side of the world.
Earlier quoted context omitted.
There's a 1 in 2^46 chance that siblings born separately will have mostly identical DNA, minus a few random mutations.
Does that qualify as significant in any practical implementation for identity?
Not enough detail in the article. There is no discussion of what sensors were used to "fool". Now everyone will assume it works on all actual devices using fingerprints, yet there is no information to support that conclusion. If this technique were applied to actual devices (with fingerprints not included in the study) and it worked reliably, then this would be a meaningful study.
even if there are mitigations in products that you buy, the study is quite meaningful. it proves (eg) the need for such mitigations.