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 201225 of 580 papers

TitleStatusHype
Deepfake Media Forensics: State of the Art and Challenges Ahead0
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local SimilaritiesCode2
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification0
UniForensics: Face Forgery Detection via General Facial Representation0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection0
Statistics-aware Audio-visual Deepfake Detector0
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis0
Exploring the Impact of Moire Pattern on Deepfake Detectors0
Targeted Augmented Data for Audio Deepfake Detection0
Adversarial Magnification to Deceive Deepfake Detection through Super ResolutionCode1
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models0
GM-DF: Generalized Multi-Scenario Deepfake DetectionCode0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection0
A Multi-Stream Fusion Approach with One-Class Learning for Audio-Visual Deepfake DetectionCode0
Media Forensics and Deepfake Systematic Survey0
DF40: Toward Next-Generation Deepfake DetectionCode3
Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection0
Decoupling Forgery Semantics for Generalizable Deepfake DetectionCode0
Real-Time Deepfake Detection in the Real-World0
Continuous fake media detection: adapting deepfake detectors to new generative techniques0
Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio0
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A SurveyCode3
Faster Than Lies: Real-time Deepfake Detection using Binary Neural NetworksCode2
Harder or Different? Understanding Generalization of 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