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
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionCode1
Exploring Spatial-Temporal Features for Deepfake Detection and LocalizationCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
Combining EfficientNet and Vision Transformers for Video Deepfake DetectionCode1
GOTCHA: Real-Time Video Deepfake Detection via Challenge-ResponseCode1
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting StrategiesCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake DetectionCode1
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanationsCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCode1
DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
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
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake DatasetCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point DefectsCode1
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake DetectionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
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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