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2020 – today
- 2024
[b1]Jakub Husa:
Evoluce kryptograficky spolehlivých booleovských funkcí ; Evolution of cryptographically sound Boolean functions. Brno University of Technology, Czech Republic, 2024- [j1]Jakub Husa
, Lukás Sekanina:
Semantic mutation operator for a fast and efficient design of bent Boolean functions. Genet. Program. Evolvable Mach. 25(1): 3 (2024) - 2023
- [c7]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
General Boolean Function Benchmark Suite. FOGA 2023: 84-95 - [c6]Roman Kalkreuth, Zdenek Vasícek, Jakub Husa, Diederick Vermetten, Furong Ye, Thomas Bäck:
Towards a General Boolean Function Benchmark Suite. GECCO Companion 2023: 591-594 - 2020
- [c5]Jakub Husa, Lukás Sekanina:
Evolving Cryptographic Boolean Functions with Minimal Multiplicative Complexity. CEC 2020: 1-8
2010 – 2019
- 2019
- [c4]Jakub Husa:
Comparison of Genetic Programming Methods on Design of Cryptographic Boolean Functions. EuroGP 2019: 228-244 - [c3]Jakub Husa:
Designing correlation immune boolean functions with minimal hamming weight using various genetic programming methods. GECCO (Companion) 2019: 342-343 - 2018
- [c2]Jakub Husa, Roman Kalkreuth:
A Comparative Study on Crossover in Cartesian Genetic Programming. EuroGP 2018: 203-219 - 2017
- [c1]Jakub Husa, Roland Dobai:
Designing bent boolean functions with parallelized linear genetic programming. GECCO (Companion) 2017: 1825-1832
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