GitHub / amindadgar / adversarial-attacks-using-image-filters
This repository is an implementation of https://link.springer.com/chapter/10.1007/978-3-030-72699-7_35 article. it uses evolutionary strategy (NSGA-II algorithm specificially) to configure image filters parameters in order to attack adversarially to a neural network.
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Language: Jupyter Notebook
Size: 29.1 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago
Topics: adversarial-attacks, cifar-10, cifar10, image-filters, keras, keras-tensorflow, model-robustness, nsga-ii, optimization, pymoo, tensorflow