Hanjun Li

Boosting Transferability of Adversarial Examples by Joint Training and Dual Feature Mixup

2024

The transferability of adversarial examples is pivotal in black-box attacks on deep learning models. The existing transfer-based attacks typically rely on a single data augmentation technique, which hampers the diversity of generated adversarial examples. Additionally, …