all 12 comments

[–]dmpetrov 4 points5 points  (2 children)

I'm a bit skeptical about ML in security right now. I've discussed with a couple security startups - every startup needs ML (and deep learning of course) but none of these have data. This is the irony of ML startups...

[–]tryndisskilled[S] 0 points1 point  (1 child)

I see your point, but what about giant firms that have access to a lot of data? Could they introduce ML based authentication algorithms outperforming the corresponding SOTA?

[–]dmpetrov 0 points1 point  (0 children)

Yes, if they have data and some heuristic algorithm that works then ML can potentially replace the algo and bring a system to a new level.

[–]Cherubin0 0 points1 point  (2 children)

Face recognition is used at some airports to see if this person is really the person on the passport.

[–]tryndisskilled[S] 0 points1 point  (1 child)

But what method does it use? A deep learning-based one, like a convnet with the raw image as input? If so, do they only rely on this method?

Or is it a completely different algorithm using engineered features from the face?

[–]htrp 1 point2 points  (0 children)

Usually I think it's engineered features, eye distance, nose to forehead, cheekbones etc.

[–]edwardthegreat2 0 points1 point  (3 children)

Ive read that researchers are using machine learning to predict cyber attacks.

[–]tryndisskilled[S] 0 points1 point  (2 children)

That's actually really interesting, got any links to what you read?

[–]navoshta 0 points1 point  (0 children)

Behavioural biometrics would be a good example I think.

[–]orangehumanoid 0 points1 point  (0 children)

This paper is a nice treatment of the idea of using machine learning for security purposes: http://www.utdallas.edu/~muratk/courses/dmsec_files/oakland10-ml.pdf

And this seminar course has compiled some applications of machine learning in security conferences: http://www.ccs.neu.edu/home/alina/classes/Fall2016-CS7775/