I was really inspired by this paper at USENIX [1]. This looks like very very early research, but the outline it provides leaves lots of room for adversarial ML

I was really inspired by this paper at USENIX [1]. This looks like very very early research, but the outline it provides leaves lots of room for adversarial ML research. Bonus, if you tackle this problem you get several semi-orthogonal technologies for "free". 1 - https://www.usenix.org/system/files/conference/cset16/cset16_paper-kaufman.pdf https://www.usenix.org/system/files/conference/cset16/cset16...