Ing.

Jakub Husa

FIT, UPSY – lektor

+420 54114 1349
ihusa@fit.vut.cz

Odeslat VUT zprávu

Ing. Jakub Husa

Publikace

  • 2024

    HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Genetic Programming and Evolvable Machines, 2024, roč. 25, č. 3, s. 1-32. ISSN: 1389-2576.
    Detail | WWW

  • 2023

    KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. Towards a General Boolean Function Benchmark Suite. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2023. s. 591-594. ISBN: 979-8-4007-0120-7.
    Detail

    HUSA, J.; SEKANINA, L. Semantic Mutation Operator for Fast and Efficient Design of Bent Boolean Functions. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. s. 0-0.
    Detail | WWW

    KALKREUTH, R.; VAŠÍČEK, Z.; HUSA, J.; VERMETTEN, D.; YE, F.; THOMAS, B. General Boolean Function Benchmark Suite. In FOGA 2023 - Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Potsdam: Association for Computing Machinery, 2023. s. 84-95. ISBN: 979-8-4007-0202-0.
    Detail

  • 2020

    HUSA, J.; SEKANINA, L. Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. In 2020 IEEE Congress on Evolutionary Computation (CEC). Los Alamitos: IEEE Computational Intelligence Society, 2020. s. 1-8. ISBN: 978-1-7281-6929-3.
    Detail

  • 2019

    HUSA, J. Designing Correlation Immune Boolean Functions With Minimal Hamming Weight Using Various Genetic Programming Methods. In GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019. s. 342-343. ISBN: 978-1-4503-6748-6.
    Detail | WWW

    HUSA, J. Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. In Genetic Programming 22st European Conference, EuroGP 2019, Proceedings. Cham: Springer International Publishing, 2019. s. 228-244. ISBN: 978-3-030-14811-9.
    Detail | WWW

    HUSA, J. Evoluční návrh kryptograficky silných booleovských funkcí. Doksy: Fakulta informačních technologií VUT v Brně, 2019. s. 0-0.
    Detail

  • 2018

    HUSA, J.; KALKREUTH, R. A Comparative Study on Crossover in Cartesian Genetic Programming. In Genetic Programming 21st European Conference, EuroGP 2018, Proceedings. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. s. 203-219. ISBN: 978-3-319-77553-1. ISSN: 0302-9743.
    Detail | WWW

  • 2017

    HUSA, J.; DOBAI, R. Designing Bent Boolean Functions With Parallelized Linear Genetic Programming. In GECCO Companion '17 Proceedings of the Companion Publication of the 2017 on Genetic and Evolutionary Computation Conference. Berlín: Association for Computing Machinery, 2017. s. 1825-1832. ISBN: 978-1-4503-4939-0.
    Detail

*) Citace publikací se generují jednou za 24 hodin.