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 226250 of 580 papers

TitleStatusHype
Singing Voice Graph Modeling for SingFake DetectionCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection0
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake DetectionCode1
DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake DetectionCode1
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake0
A3:Ambiguous Aberrations Captured via Astray-Learning for Facial Forgery Semantic Sublimation0
A Timely Survey on Vision Transformer for Deepfake Detection0
EEG-Features for Generalized Deepfake Detection0
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake DatasetCode0
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
SVDD Challenge 2024: A Singing Voice Deepfake Detection Challenge Evaluation PlanCode1
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
Detecting music deepfakes is easy but actually hardCode2
Unmasking Illusions: Understanding Human Perception of Audiovisual Deepfakes0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models0
Exploring Self-Supervised Vision Transformers for Deepfake Detection: A Comparative AnalysisCode0
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol0
Explicit Correlation Learning for Generalizable Cross-Modal Deepfake DetectionCode1
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake DetectionCode0
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive ForensicsCode0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities0
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
Retrieval-Augmented Audio Deepfake Detection0
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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