2023
Boosting Adversarial Transferability using Dynamic Cues
ICLR 2023poster
The transferability of adversarial perturbations between image models has been extensively studied. In this case, an attack is generated from a known surrogate \eg, the ImageNet trained model, and transferred to change the decision of an unknown (black-box) model trained on an image dataset. However…