The high energy costs of neural network training and inference led to the use of …
A devious optimization goal
5 stars
This paper explores input to DNN models that cause an asymptotic increase in power usage or timing. By using genetic algorithms in a white-box setting, the researchers could find image and text inputs that would drive up inference effort.
The results were impressive, causing a 6000x slowdown on a hosted Azure translation model.