Preprint
Aug 2026
Explainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization
Feature-robust Augmentation is introduced, which comprises diversified degradation-aware augmentation strategies, and a supervised contrastive learning pattern paired with a mean-teacher architecture that stabilizes features against augmentations through consistency constraints that wins the first place in ACM Multimedia 2026 Explainable Deepfake Detection Challenge.
Zhu Xu, Jia-Qi Tang, Po-Kai Chen et al.
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