A trained encoder-decoder network (FTN) transforms source images into targeted adversarial examples that reportedly transfer across VGG19, Inception-v3, ResNet variants, DenseNet, and a black-box commercial classifier, using low-frequency fooling images as style targets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Universal, transferable and targeted adversarial attacks
A trained encoder-decoder network (FTN) transforms source images into targeted adversarial examples that reportedly transfer across VGG19, Inception-v3, ResNet variants, DenseNet, and a black-box commercial classifier, using low-frequency fooling images as style targets.