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Found 2 papers, 2 papers with code
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space
In addition, due to the avoidance of using surrogate models' gradient information when optimizing AEs for black-box models, our proposed DifAttack inherently possesses better attack capability in the open-set scenario, where the training dataset of the victim model is unknown.
Exploring Spatial-Temporal Features for Deepfake Detection and Localization
In this work, we propose a Spatial-Temporal Deepfake Detection and Localization (ST-DDL) network that simultaneously explores spatial and temporal features for detecting and localizing forged regions.
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