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Common Sense Reasoning for Deep Fake Detection
State-of-the-art approaches rely on image-based features extracted via neural networks for the deepfake detection binary classification.
Common-Sense Bias Discovery and Mitigation for Classification Tasks
Machine learning model bias can arise from dataset composition: sensitive features correlated to the learning target disturb the model decision rule and lead to performance differences along the features.
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