Zi-Han Huang

Boosting adversarial attacks with attention-guided luminance perturbation

Deep Neural Networks (DNNs) are vulnerable to adversarial examples generated by adding human-imperceptible perturbations to benign inputs. Moreover, the transferability of adversarial examples enables effective black-box attacks across different models. However, existing attack methods typically generate spatially dens...