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 101125 of 580 papers

TitleStatusHype
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting StrategiesCode1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
Combining EfficientNet and Vision Transformers for Video Deepfake DetectionCode1
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCode1
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionCode1
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge LearningCode1
Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and LocalizationCode1
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake DetectionCode1
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Analyzing Fairness in Deepfake Detection With Massively Annotated DatabasesCode1
Contrastive Learning of Global-Local Video RepresentationsCode1
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake DetectionCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake DetectionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
Locate and Verify: A Two-Stream Network for Improved Deepfake DetectionCode1
Masked Relation Learning for DeepFake DetectionCode1
MesoNet: a Compact Facial Video Forgery Detection NetworkCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
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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