In computer security, attacks and defenses are both first class citizens when it comes to research. In other fields, like if you go into into biology, medicine or physics, writing a sort of a negative result is much harder. This has been particularly hard in machine learning so far because everything is very empirical. It sometimes creates a bit adversarial settings also where you have to be a little bit careful not to make people angry with your work.

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