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

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Showing 151–200 of 580 papers

TitleStatusHype
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and LocalizationCode1
GOTCHA: Real-Time Video Deepfake Detection via Challenge-ResponseCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
Improved DeepFake Detection Using Whisper FeaturesCode1
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face AugmentationCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
Learning Self-Consistency for Deepfake DetectionCode1
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery DetectionCode1
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake DetectionCode1
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery DetectionCode1
M2TR: Multi-modal Multi-scale Transformers for Deepfake DetectionCode1
Face Forgery Detection with Elaborate BackboneCode1
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual WatermarksCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
SVDD 2024: The Inaugural Singing Voice Deepfake Detection ChallengeCode1
Deepfake Forensics via An Adversarial GameCode1
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social NetworksCode1
One Shot Face Swapping on MegapixelsCode1
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 Detection—0
Cross-Domain Audio Deepfake Detection: Dataset and Analysis—0
Audio Deepfake Detection with Self-Supervised WavLM and Multi-Fusion Attentive Classifier—0
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task—0
Cross-Branch Orthogonality for Improved Generalization in Face Deepfake Detection—0
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features—0
Cost Sensitive Optimization of Deepfake Detector—0
Contrastive Self-Supervised Learning of Global-Local Audio-Visual Representations—0
Attacker Attribution of Audio Deepfakes—0
Limits of Deepfake Detection: A Robust Estimation Viewpoint—0
Contrastive Learning of Global and Local Video Representations—0
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking—0
A Timely Survey on Vision Transformer for Deepfake Detection—0
Continuous fake media detection: adapting deepfake detectors to new generative techniques—0
Assessment Framework for Deepfake Detection in Real-world Situations—0
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization—0
ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge—0
Adversarial Threats to DeepFake Detection: A Practical Perspective—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Complex-valued neural networks for voice anti-spoofing—0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis—0
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives—0
Comparative Analysis of Deep-Fake Algorithms—0
Adversarially robust deepfake media detection using fused convolutional neural network predictions—0
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection—0
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All datasetsFakeAVCelebFaceForensicsDFDC1CIFAKE: Real and AI-Generated Synthetic ImagesCOCOFakeDFFDLAV-DF

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AV-Lip-Sync+Accuracy (%)99.29—Unverified
2AvtenetAccuracy (%)98.57—Unverified
3FACTORROC AUC97.4—Unverified
4RealForensicsROC AUC97.1—Unverified
5AVADROC AUC94.5—Unverified
6AV-Lip-Sync ModelAccuracy (%)94—Unverified
7FTCNROC AUC93.1—Unverified
8LipForensicsROC AUC91.1—Unverified
9Multimodal Ensemble ModelAccuracy (%)89—Unverified
10AD DFDROC AUC88.1—Unverified
#ModelMetricClaimedVerifiedStatus
1XceptionNetDF96.36—Unverified
2QAD-EAUC0.96—Unverified
3EfficientNetB4 + EfficientNetB4ST + B4Att + B4AttSTAUC0.94—Unverified
4MARLIN (ViT-L)AUC0.94—Unverified
5MARLIN (ViT-B)AUC0.93—Unverified
6MARLIN (ViT-S)AUC0.89—Unverified
7EfficientNetB4 + EfficientNetB4ST + B4AttSTLogLoss0.33—Unverified
#ModelMetricClaimedVerifiedStatus
1Cross Efficient Vision TransformerAUC0.95—Unverified
2Efficient Vision TransformerAUC0.92—Unverified
3EfficientNetB4 + EfficientNetB4ST + B4AttLogLoss0.46—Unverified
#ModelMetricClaimedVerifiedStatus
1STYLE0L99—Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC99.65—Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC1—Unverified
#ModelMetricClaimedVerifiedStatus
1FasterThanLiesAUC1—Unverified
#ModelMetricClaimedVerifiedStatus
1BA-TFDAUC0.99—Unverified