2023
Multi-Layer Feature Division Transferable Adversarial Attack
ICASSP 2023accepted
Improving the transferability of adversarial examples for the purpose of attacking unknown black-box models has been intensively studied. In particular, feature-level transfer-based attacks, which destroy the intermediate feature outputs of source models, are proven to generate more transferable adv…