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 101–150 of 580 papers

TitleStatusHype
Detecting Deepfakes Without Seeing AnyCode1
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
Combining EfficientNet and Vision Transformers for Video Deepfake DetectionCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionCode1
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and LocalizationCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
Generalizable Deepfake Detection via Effective Local-Global Feature ExtractionCode1
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesCode1
Masked Relation Learning for DeepFake DetectionCode1
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
A Continual Deepfake Detection Benchmark: Dataset, Methods, and EssentialsCode1
Improved DeepFake Detection Using Whisper FeaturesCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
Improving Fairness in Deepfake DetectionCode1
Deepfake Video Detection Using Generative Convolutional Vision TransformerCode1
Is Synthetic Voice Detection Research Going Into the Right Direction?Code1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Deepfake Network Architecture AttributionCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake DetectionCode1
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
FaceForensics++: Learning to Detect Manipulated Facial ImagesCode1
DeCLIP: Decoding CLIP representations for deepfake localizationCode1
DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
Audio-Visual Person-of-Interest DeepFake DetectionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake DetectionCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
Leveraging Real Talking Faces via Self-Supervision for Robust Forgery DetectionCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCode1
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting StrategiesCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
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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