Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective

12 Feb 2021 Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon

The booming interest in adversarial attacks stems from a misalignment between human vision and a deep neural network (DNN), i.e. a human imperceptible perturbation fools the DNN. Moreover, a single perturbation, often called universal adversarial perturbation (UAP), can be generated to fool the DNN for most images... (read more)

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