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 51–100 of 580 papers

TitleStatusHype
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
DFGC 2021: A DeepFake Game CompetitionCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Generalizable Deepfake Detection via Effective Local-Global Feature ExtractionCode1
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake DetectionCode1
A Continual Deepfake Detection Benchmark: Dataset, Methods, and EssentialsCode1
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery LocalizationCode1
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
Deepfake Video Detection Using Generative Convolutional Vision TransformerCode1
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point DefectsCode1
Deepfake Network Architecture AttributionCode1
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Frequency Masking for Universal Deepfake DetectionCode1
Deepfake Forensics via An Adversarial GameCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake DatasetCode1
FaceForensics++: Learning to Detect Manipulated Facial ImagesCode1
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake DetectionCode1
Face Forgery Detection with Elaborate BackboneCode1
FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake DetectionCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake DetectionCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and LocalizationCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
DeepFake-Adapter: Dual-Level Adapter for DeepFake DetectionCode1
Exploring Spatial-Temporal Features for Deepfake Detection and LocalizationCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and ExplanationCode1
Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanationsCode1
Exploring Temporal Coherence for More General Video Face Forgery DetectionCode1
AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting StrategiesCode1
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media ForensicsCode1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
Celeb-DF: A Large-scale Challenging Dataset for DeepFake ForensicsCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Cross-Forgery Analysis of Vision Transformers and CNNs for Deepfake Image DetectionCode1
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCode1
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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