Dec 19, 2023 · To this end, this paper proposes a new robustness evaluation index system, the AUC decrease rate, and AUC stability range under multiple ...

This paper proposes a new robustness evaluation index system, the AUC decrease rate, and AUC stability range under multiple perturbations.

The experimental results show that the average detection accuracy on a new challenging multi-lane dataset is 97.7%. The performance of the proposed method ...

To assess the robustness of our proposed model, we used the open deepfake detection challenge dataset (DFDC) and Face Forensics deepfake collections (FF++). We ...

In our study, we explore biometric characteristics commonly used for facial recognition, to detect the existence of deepfakes through face swap. Previous works ...

This research highlights the strong efficacy of coupling the Xception model with Snake optimization for DeepFake detection; thus, establishes a new state-of-the ...

Deepfake detection using robust spatial and temporal features from facial landmarks. May 2021. DOI:10.1109/IWBF50991.2021.9465076

Jun 19, 2023 · It has been widely used for research on topics such as automatic lip reading, multi-view face recognition, multi-modal speech recognition and ...

The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet ...

May 8, 2023 · This paper proposes an automated method to classify deep fake images by employing Deep Learning and Machine Learning based methodologies.