2025
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
ICCV 2025poster
The ability of deep neural networks (DNNs) come from extracting and interpreting features from the data provided. By exploiting intermediate features in DNNs instead of relying on hard labels, we craft adversarial perturbation that generalize more effectively, boosting black-box transferability. The…