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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–580 of 580 papers

TitleStatusHype
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Investigation of ensemble methods for the detection of deepfake face manipulations—0
Is it the model or the metric -- On robustness measures of deeplearning models—0
Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection—0
Joint Audio-Visual Deepfake Detection—0
KoDF: A Large-scale Korean DeepFake Detection Dataset—0
Multimodal Graph Learning for Deepfake Detection—0
LatentForensics: Towards frugal deepfake detection in the StyleGAN latent space—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Learning Real Facial Concepts for Independent Deepfake Detection—0
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models—0
Leveraging Deep Learning Approaches for Deepfake Detection: A Review—0
Leveraging Mixture of Experts for Improved Speech Deepfake Detection—0
Lightweight Deepfake Detection Based on Multi-Feature Fusion—0
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework—0
Listen, Analyze, and Adapt to Learn New Attacks: An Exemplar-Free Class Incremental Learning Method for Audio Deepfake Source Tracing—0
LLMs Are Not Yet Ready for Deepfake Image Detection—0
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification—0
Machine Learning based Medical Image Deepfake Detection: A Comparative Study—0
Masked Conditional Diffusion Model for Enhancing Deepfake Detection—0
MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detection—0
MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detection—0
Media Forensics and Deepfake Systematic Survey—0
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes—0
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors—0
Methods and Trends in Detecting Generated Images: A Comprehensive Review—0
MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection—0
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques—0
MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detection—0
Multiscale Adaptive Conflict-Balancing Model For Multimedia Deepfake 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