2024
Boosting Adversarial Transferability by Block Shuffle and Rotation
CVPR 2024poster
Adversarial examples mislead deep neural networks with imperceptible perturbations and have brought significant threats to deep learning. An important aspect is their transferability which refers to their ability to deceive other models thus enabling attacks in the black-box setting. Though various…