Genetic algorithm with Walsh-Hadamard Spectrum cost function generates 8x8 S-boxes with nonlinearity 104 in average 49,399 iterations at 100% success rate, matching best-known methods.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
dataset 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
dataset 1polarities
use dataset 1representative citing papers
Multi-task autoencoders with outlier detection and federated SVDD loss filter noisy samples in non-IID federated learning, yielding accuracy gains up to 7% on CIFAR-10.
citing papers explorer
-
Evolutionary Approach to S-box Generation: Optimizing Nonlinear Substitutions in Symmetric Ciphers
Genetic algorithm with Walsh-Hadamard Spectrum cost function generates 8x8 S-boxes with nonlinearity 104 in average 49,399 iterations at 100% success rate, matching best-known methods.
-
Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Multi-task autoencoders with outlier detection and federated SVDD loss filter noisy samples in non-IID federated learning, yielding accuracy gains up to 7% on CIFAR-10.