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20212026
most citedEvolutionary Construction of Perfectly Balanced Boolean Functions

2 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

IDEM Enough? Evolving Highly Nonlinear Idempotent Boolean Functions

Claude Carlet, Marko Ðurasevic, Domagoj Jakobovic +2

Idempotent Boolean functions form a highly structured subclass of Boolean functions that is closely related to rotation symmetry under a normal-basis representation and to invarian…

cs.CR2023★ 1 cited

A Survey of Metaheuristic Algorithms for the Design of Cryptographic Boolean Functions

Marko Djurasevic, Domagoj Jakobovic, Luca Mariot +1

Boolean functions are mathematical objects used in diverse domains and have been actively researched for several decades already. One domain where Boolean functions play an importa…

cs.NE2022

On the Evolution of Boomerang Uniformity in Cryptographic S-boxes

Marko Djurasevic, Domagoj Jakobovic, Luca Mariot +2

S-boxes are an important primitive that help cryptographic algorithms to be resilient against various attacks. The resilience against specific attacks can be connected with a certa…

cs.NE2022★ 1 cited

Evolving Constructions for Balanced, Highly Nonlinear Boolean Functions

Claude Carlet, Marko Djurasevic, Domagoj Jakobovic +2

Finding balanced, highly nonlinear Boolean functions is a difficult problem where it is not known what nonlinearity values are possible to be reached in general. At the same time,…

cs.NE2022★ 2 cited

Evolutionary Construction of Perfectly Balanced Boolean Functions

Luca Mariot, Stjepan Picek, Domagoj Jakobovic +2

Finding Boolean functions suitable for cryptographic primitives is a complex combinatorial optimization problem, since they must satisfy several properties to resist cryptanalytic…

cs.NE2021

On the Difficulty of Evolving Permutation Codes

Luca Mariot, Stjepan Picek, Domagoj Jakobovic +2

Combinatorial designs provide an interesting source of optimization problems. Among them, permutation codes are particularly interesting given their applications in powerline commu…

cs.NE2021

On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain

Lucija Planinic, Marko Djurasevic, Luca Mariot +3

This paper investigates the influence of genotype size on evolutionary algorithms' performance. We consider genotype compression (where genotype is smaller than phenotype) and expa…