Adversarial Attack Using Genetic Algorithm
This is a repo that accompanies my article about generating adverasarial examples. It consists of:
GeneticSolver.py- general framework for genetic approach rewritten for MNIST datasetImageGeneticSolver.py- Same as GeneticSolver, but saves the best candidate so far in verbose modega_adv.ipynb- main notebook with the results described in articlega_adv_robust.ipynb- bonus - exploration of the idea of multi-task learning. If the attacker knows that you consider the example to be fake, he can still use this information during optimizationmnist.pnz- MNIST dataset for training