Rain 🚱 is a user on cybre.space. You can follow them or interact with them if you have an account anywhere in the fediverse.
People talk about how neural network research is the next great job to get into after programming, but personally I suspect adversarial neural network research is going to be even bigger.
Know what's bigger than making a thing? Knowing how to break it - or securing it from being broken.
For example, this video that demonstrates a 3D printed turtle purposely designed to make a network think its looking at a rifle instead: https://www.youtube.com/watch?v=piYnd_wYlT8
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@polychrome How much do you need to know about the NN you are attacking?
@grainloom I am not an expert, but I know some who are so I can give a better response later.
My non-expert opinion is that it differs from network to network so you need to know what you are attacking. The field is also very dynamic right now and new techniques make previous one obsolete every couple of days, so..
.. that being said I noticed that almost everyone (including the big players) use the same common networks for everything they do, so the pool is smaller than you'd think!