A background mixup plus temporal gradient consistency attack raises adversarial transferability on video and image models, but its evaluation protocol uses target model predictions inside the attack generation, weakening the stated black-box claim.
Slowfast networks for video recognition
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Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
A background mixup plus temporal gradient consistency attack raises adversarial transferability on video and image models, but its evaluation protocol uses target model predictions inside the attack generation, weakening the stated black-box claim.