Search Results for author:
Found 5 papers, 1 papers with code
Facial Forgery-based Deepfake Detection using Fine-Grained Features
As a countermeasure, a number of deepfake detection methods have been proposed.
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake Detection
To this aim, we manually annotated existing popular deepfake datasets with gender labels and evaluated the performance differential of current deepfake detectors across gender.
On Improving Cross-dataset Generalization of Deepfake Detectors
As a countermeasure, a number of deep fake detection methods have been proposed recently.
Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
However, these deep learning models need large amount of labeled data for model training and optimum parameter estimation.
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition
Experimental investigations on challenging Celeb-DF and FaceForensics++ deepfake datasets suggest the efficacy of deep face recognition in identifying deepfakes over two-class CNNs and the ocular modality.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
