4 ms·
Why would it? Eigen-faces tend to not even look like faces (which makes sense, given that the goal is to represent a collection of real faces as linear combinat
by NarcolepticFrog 8y ago
Why would it? Eigen-faces tend to not even look like faces (which makes sense, given that the goal is to represent a collection of real faces as linear combinations of the orthogonal eigen-faces). One possibility would be to generate random faces as random linear combinations of the eigen-face basis, but this type of attack could be thwarted by rate limiting.
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).
- c3534l 8y agoThe images that screw up image recognition systems to get very high confidence of very wrong classifications don't look like the thing they're mistaken for at all. All the GANs I've seen produce what looks like colorful static to a human eye. I'm not sure where you're getting the info that it would look like an average face because I've never seen ML systems defeated with GANs like that.