44 citations · 58 across the 5 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2022★ 4 cited
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
Yuhang Lu, Touradj Ebrahimi
Deep convolutional neural networks have achieved exceptional results on multiple detection and recognition tasks. However, the performance of such detectors are often evaluated in…
cs.CV2022
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…