On the complexity of computing two nonlinearity measures

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Abstract

We study the computational complexity of two Boolean nonlinearity measures: the nonlinearity and the multiplicative complexity. We show that if one-way functions exist, no algorithm can compute the multiplicative complexity in time 2 O(n) given the truth table of length 2 n, in fact under the same assumption it is impossible to approximate the multiplicative complexity within a factor of (2∈-∈ε) n/2. When given a circuit, the problem of determining the multiplicative complexity is in the second level of the polynomial hierarchy. For nonlinearity, we show that it is #P hard to compute given a function represented by a circuit. © 2014 Springer International Publishing Switzerland.

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Find, M. G. (2014). On the complexity of computing two nonlinearity measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8476 LNCS, pp. 167–175). Springer Verlag. https://doi.org/10.1007/978-3-319-06686-8_13

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