The influence of the boundary conditions on the robustness of a CNN

We investigate the issue of robustness and how it is affected by the choice of boundary values for a given template set. First we introduce a measure of robustness, and then we show that, in some cases, an appropriate choice of boundary value may increase the attainable robustness. In other cases, the boundary value may be varied within some interval without loss of robustness.