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 Network Architecture AttributionCode1
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanationsCode1
Explaining Deepfake Detection by Analysing Image MatchingCode1
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and LocalizationCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
Exposing Lip-syncing Deepfakes from Mouth InconsistenciesCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Face Forgery Detection with Elaborate BackboneCode1
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake DatasetCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake DetectionCode1
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake DetectionCode1
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated ExamplesCode1
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point DefectsCode1
Deepfake Forensics via An Adversarial GameCode1
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
Aggregating Layers for Deepfake DetectionCode0
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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