Trims and Extensions of Quadratic APN Functions
arXiv:2108.13280 · doi:10.1007/s10623-022-01024-4
Abstract
In this work, we study functions that can be obtained by restricting a vectorial Boolean function to an affine hyperplane of dimension and then projecting the output to an -dimensional space. We show that a multiset of EA-equivalence classes of such restrictions defines an EA-invariant for vectorial Boolean functions on . Further, for all of the known quadratic APN functions in dimension , we determine the restrictions that are also APN. Moreover, we construct 6,368 new quadratic APN functions in dimension eight up to EA-equivalence by extending a quadratic APN function in dimension seven. A special focus of this work is on quadratic APN functions with maximum linearity. In particular, we characterize a quadratic APN function with linearity of by a property of the ortho-derivative of its restriction to a linear hyperplane. Using the fact that all quadratic APN functions in dimension seven are classified, we are able to obtain a classification of all quadratic 8-bit APN functions with linearity up to EA-equivalence.