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Found 2 papers, 1 papers with code
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View
Deepfake detectors encode multi-order interactions among visual concepts, in which the low-order interactions usually have substantially negative contributions to deepfake detection.
AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
To this end, compared with standard DNNs, we discover that the generalization gap of adversarially trained DNNs is caused by the smaller attribution span on the input image.
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