A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection

Yuhang Lu, Ruizhi Luo, Touradj Ebrahimi

Deep convolutional neural networks have shown remarkable results on multiple detection tasks. Despite the significant progress, the performance of such detectors are often assessed…