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 151175 of 580 papers

TitleStatusHype
Deepfake Video Detection Using Convolutional Vision TransformerCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Frequency Masking for Universal Deepfake DetectionCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionCode1
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and LocalizationCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake DetectionCode1
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face AugmentationCode1
Improving Fairness in Deepfake DetectionCode1
ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake DetectionCode1
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake DetectionCode1
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked AutoencodersCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
GOTCHA: Real-Time Video Deepfake Detection via Challenge-ResponseCode1
Deepfake Forensics via An Adversarial GameCode1
M2TR: Multi-modal Multi-scale Transformers for Deepfake DetectionCode1
PTW: Pivotal Tuning Watermarking for Pre-Trained Image GeneratorsCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
Cross-Domain Local Characteristic Enhanced 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