Improving the transferability of adversarial examples via the high-level interpretable features for object detection.

Towards targeted and universal adversarial attacks against network traffic classification.

Adversarial example generation for object detection using a data augmentation framework and momentum.

Towards universal and transferable adversarial attacks against network traffic classification.

Location-independent adversarial patch generation for object detection.