FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing

Hossein Kashiani, Niloufar Alipour Talemi, Fatemeh Afghah

Deepfake detectors often struggle to generalize to novel forgery types due to biases learned from limited training data. In this paper, we identify a new type of model bias in the…