SOTAVerified

DeepFake Detection

DeepFake Detection is the task of detecting fake videos or images that have been generated using deep learning techniques. Deepfakes are created by using machine learning algorithms to manipulate or replace parts of an original video or image, such as the face of a person. The goal of deepfake detection is to identify such manipulations and distinguish them from real videos or images.

Description source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Image source: DeepFakes: a New Threat to Face Recognition? Assessment and Detection

Papers

Showing 426450 of 580 papers

TitleStatusHype
Deepfake Detection: A Comparative Analysis0
Towards General Visual-Linguistic Face Forgery Detection0
Self-Supervised Graph Transformer for Deepfake Detection0
Towards Generalizable Deepfake Detection by Primary Region Regularization0
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection0
Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality0
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection0
Searching for the Fakes: Efficient Neural Architecture Search for General Face Forgery Detection0
NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection0
UNTAG: LEARNING GENERIC FEATURES FOR UNSUPERVISED TYPE-AGNOSTIC DEEPFAKE DETECTIONCode0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Introducing Explicit Gaze Constraints to Face Swapping0
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes0
Can deepfakes be created by novice users?0
Evading DeepFake Detectors via Adversarial Statistical Consistency0
Investigation of ensemble methods for the detection of deepfake face manipulations0
Assessment Framework for Deepfake Detection in Real-world Situations0
Deepfake Detection of Occluded Images Using a Patch-based Approach0
Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers0
Leveraging Deep Learning Approaches for Deepfake Detection: A Review0
LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space0
Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection0
Impact of Video Processing Operations in Deepfake Detection0
Real Face Foundation Representation Learning for Generalized Deepfake Detection0
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AV-Lip-Sync+Accuracy (%)99.29Unverified
2AvtenetAccuracy (%)98.57Unverified
3FACTORROC AUC97.4Unverified
4RealForensicsROC AUC97.1Unverified
5AVADROC AUC94.5Unverified
6AV-Lip-Sync ModelAccuracy (%)94Unverified
7FTCNROC AUC93.1Unverified
8LipForensicsROC AUC91.1Unverified
9Multimodal Ensemble ModelAccuracy (%)89Unverified
10AD DFDROC AUC88.1Unverified
#ModelMetricClaimedVerifiedStatus
1XceptionNetDF96.36Unverified
2QAD-EAUC0.96Unverified
3EfficientNetB4 + EfficientNetB4ST + B4Att + B4AttSTAUC0.94Unverified
4MARLIN (ViT-L)AUC0.94Unverified
5MARLIN (ViT-B)AUC0.93Unverified
6MARLIN (ViT-S)AUC0.89Unverified
7EfficientNetB4 + EfficientNetB4ST + B4AttSTLogLoss0.33Unverified
#ModelMetricClaimedVerifiedStatus
1Cross Efficient Vision TransformerAUC0.95Unverified
2Efficient Vision TransformerAUC0.92Unverified
3EfficientNetB4 + EfficientNetB4ST + B4AttLogLoss0.46Unverified
#ModelMetricClaimedVerifiedStatus
1STYLE0L99Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC99.65Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC1Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC1Unverified
#ModelMetricClaimedVerifiedStatus
1BA-TFDAUC0.99Unverified