Visually Imperceptible Adversarial Patch Attacks on Digital Images

Understand

The vulnerability of deep neural networks (DNNs) to adversarial examples has attracted more attention.

• Many algorithms have been proposed to craft powerful adversarial examples.
• However, most of these algorithms modified the global or local region of pixels without taking network explanations into account.
• Hence, the perturbations are redundant, which are easily detected by human eyes.