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I think that was a LOL as in "your comment lacks understanding of the capabilities of neural networks in it's suggestion a neural network could identify someone
by p0sixlang 7y ago
I think that was a LOL as in "your comment lacks understanding of the capabilities of neural networks in it's suggestion a neural network could identify someone in the pool of... everyone (lets even say in a certain area), based on writing style."
You'd need countless IDed writing samples to even give yourself a 50% chance of making a network able to with 50% accuracy match an unIDed writing sample to an IDed one.
Facial recognition is easier (yet still very hard) to implement because there're characteristics about people's faces that're hard to modify unless you're really trying.
Compared to writing style which could differ based on too many factors.
- BlueTemplar 7y ago> In one experiment, researchers were able to identify 80% of users with a 5,000-word writing sample. https://www.schneier.com/blog/archives/2013/01/identifying_peo_3.html https://www.schneier.com/blog/archives/2013/01/identifying_p... ?
- p0sixlang 7y agoI'll just steal one of the comments from the article. "It isn't new, and it's just as overstated as previous studies. The 80% accurate identification rate applies only within the 5,000 subjects. The identification rate will plummet when the pool of writers expands to everyone who can write in English" Like I said, if you can narrow the pool to a small amount of people, than you probably could accomplish this (but even then, there's always the chance two people have similar writing styles.)
- BlueTemplar 7y agoAnd if you had read further, you would have seen him corrected : it's 5k words, not 5k subjects. (And, also, I do raise this potential caveat in my mention of "needles"...)