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 451475 of 580 papers

TitleStatusHype
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models0
Benchmarking Deepart Detection0
Learning Pairwise Interaction for Generalizable DeepFake DetectionCode0
Why Do Facial Deepfake Detectors Fail?0
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques0
Visual Realism Assessment for Face-swap VideosCode0
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM0
Deepfake Detection using Biological Features: A Survey0
AUNet: Learning Relations Between Action Units for Face Forgery Detection0
Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection0
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset0
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection0
Testing Human Ability To Detect Deepfake Images of Human FacesCode0
A Dataless FaceSwap Detection Approach Using Synthetic ImagesCode0
Deepfake Detection via Joint Unsupervised Reconstruction and Supervised Classification0
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective0
Generalizable Deepfake Detection with Phase-Based Motion Analysis0
Lip Sync Matters: A Novel Multimodal Forgery DetectorCode0
Cross-Domain Local Characteristic Enhanced Deepfake Video Detection0
Anisotropic multiresolution analyses for deepfake detection0
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion0
Aggregating Layers for Deepfake DetectionCode0
A Machine Learning Approach for DeepFake Detection0
When Handcrafted Features and Deep Features Meet Mismatched Training and Test Sets for Deepfake 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