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 151–200 of 580 papers

TitleStatusHype
DefakeHop: A Light-Weight High-Performance Deepfake DetectorCode1
Deepfake Videos in the Wild: Analysis and DetectionCode1
Multi-attentional Deepfake DetectionCode1
Countering Malicious DeepFakes: Survey, Battleground, and HorizonCode1
Deepfake Video Detection Using Convolutional Vision TransformerCode1
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face AugmentationCode1
WildDeepfake: A Challenging Real-World Dataset for Deepfake DetectionCode1
Taming Transformers for High-Resolution Image SynthesisCode1
Learning Self-Consistency for Deepfake DetectionCode1
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery DetectionCode1
Neural Deepfake Detection with Factual Structure of TextCode1
DeepFakesON-Phys: DeepFakes Detection based on Heart Rate EstimationCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
TweepFake: about Detecting Deepfake TweetsCode1
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training DataCode1
Deepfake Detection using Spatiotemporal Convolutional NetworksCode1
The DeepFake Detection Challenge (DFDC) DatasetCode1
Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and LocalizationCode1
Video Face Manipulation Detection Through Ensemble of CNNsCode1
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial ExamplesCode1
Unmasking DeepFakes with simple FeaturesCode1
Celeb-DF: A Large-scale Challenging Dataset for DeepFake ForensicsCode1
FaceForensics++: Learning to Detect Manipulated Facial ImagesCode1
MesoNet: a Compact Facial Video Forgery Detection NetworkCode1
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks—0
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios—0
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksCode0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection—0
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap DeepfakesCode0
From Sharpness to Better Generalization for Speech Deepfake Detection—0
Enhancing Deepfake Detection using SE Block Attention with CNN—0
LLMs Are Not Yet Ready for Deepfake Image Detection—0
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization—0
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework—0
TADA: Training-free Attribution and Out-of-Domain Detection of Audio DeepfakesCode0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection—0
Practical Manipulation Model for Robust Deepfake DetectionCode0
AuthGuard: Generalizable Deepfake Detection via Language Guidance—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
Benchmarking Foundation Models for Zero-Shot Biometric Tasks—0
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection—0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes—0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis—0
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution—0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced 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