Generating Adversarial Examples withControllable Non-transferability

Renzhi Wang
Renzhi Wang
Tianwei Zhang
Tianwei Zhang
Cong Tian
Cong Tian
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Abstract:

Adversarial attacks against Deep Neural Networks have been widely studied. One significant feature that makes such attacks particularly powerful is transferability, where the adversarial examples generated from one model can be effective against other similar models as well. A large number of works have been done to increase the transfe...More

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