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 125 of 580 papers

TitleStatusHype
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks0
DDL: A Dataset for Interpretable Deepfake Detection and Localization in Real-World Scenarios0
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksCode0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection0
SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection0
From Sharpness to Better Generalization for Speech Deepfake Detection0
FAME: A Lightweight Spatio-Temporal Network for Model Attribution of Face-Swap DeepfakesCode0
LLMs Are Not Yet Ready for Deepfake Image Detection0
Enhancing Deepfake Detection using SE Block Attention with CNN0
Unmasking real-world audio deepfakes: A data-centric approachCode1
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization0
Lightweight Joint Audio-Visual Deepfake Detection via Single-Stream Multi-Modal Learning Framework0
DeepFake Doctor: Diagnosing and Treating Audio-Video Fake Detection0
TADA: Training-free Attribution and Out-of-Domain Detection of Audio DeepfakesCode0
Practical Manipulation Model for Robust Deepfake DetectionCode0
AuthGuard: Generalizable Deepfake Detection via Language Guidance0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Benchmarking Foundation Models for Zero-Shot Biometric Tasks0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis0
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes0
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution0
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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