Jianan Ni

Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition

Action recognition models using deep learning are vulnerable to adversarial examples, which are transferable across other models trained on the same data modality. Existing transferable attack methods face two major challenges: 1) they heavily rely on the assumption that the decision boundaries of t