Designing bent boolean functions with parallelized linear genetic programming. - Jakub Husa; Roland Dobai (GECCO (Companion), 2017)

A Comparative Study on Crossover in Cartesian Genetic Programming. - Jakub Husa; Roman Kalkreuth (EuroGP, 2018)

Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. - Jakub Husa (EuroGP, 2019)

Designing correlation immune boolean functions with minimal hamming weight using various genetic programming methods. - Jakub Husa (GECCO (Companion), 2019)

Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. - Jakub Husa; Lukás Sekanina (CEC, 2020)

General Boolean Function Benchmark Suite. - Roman Kalkreuth; Zdenek Vasícek; Jakub Husa; Diederick Vermetten; Furong Ye; Thomas Bäck (FOGA, 2023)

Towards a General Boolean Function Benchmark Suite. - Roman Kalkreuth; Zdenek Vasícek; Jakub Husa; Diederick Vermetten; Furong Ye; Thomas Bäck (GECCO Companion, 2023)

Evoluce kryptograficky spolehlivých booleovských funkcí ; Evolution of cryptographically sound Boolean functions. - Jakub Husa (2024)

Semantic mutation operator for a fast and efficient design of bent Boolean functions. - Jakub Husa; Lukás Sekanina (Genet. Program. Evolvable Mach., 2024)