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 276300 of 580 papers

TitleStatusHype
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection0
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking0
SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework0
Spatio-temporal Features for Generalized Detection of Deepfake Videos0
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild0
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding0
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection0
Statistics-aware Audio-visual Deepfake Detector0
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution0
Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition0
Synthetic Art Generation and DeepFake Detection A Study on Jamini Roy Inspired Dataset0
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection0
Targeted Augmented Data for Audio Deepfake Detection0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge0
X^2-DFD: A framework for eXplainable and eXtendable Deepfake Detection0
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake0
Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection0
The Deepfake Detection Challenge (DFDC) Preview Dataset0
0/1 Deep Neural Networks via Block Coordinate Descent0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 20230
The Effectiveness of Temporal Dependency in Deepfake Video Detection0
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge0
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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