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R$^2$M: Real-Aware Residual Model Merging for Robust and Generalizable Deepfake Detection
Deepfake generators evolve rapidly, making exhaustive data collection and repeated retraining impractical. Unlike generic multi-task settings, deepfake specialists share a common binary objective (Real vs. Fake) and mainly differ in generator-specific artifacts. However, naive parameter arithmetic c
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