Adversarial Attack Type I: Cheat Classifiers by Significant Changes
Despite the great success of deep neural networks, the adversarial attack can cheat some well-trained classifiers by small permutations. In this paper, we propose another type of adversarial attack that can cheat classifiers by significant changes... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
AutoEncoder
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Generative Models |