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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 580 papers

TitleStatusHype
FaceGuard: Proactive Deepfake Detection—0
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—0
FaceShield: Defending Facial Image against Deepfake Threats—0
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach—0
Facial Forgery-based Deepfake Detection using Fine-Grained Features—0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing—0
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
Fighting deepfakes by detecting GAN DCT anomalies—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
Finding Facial Forgery Artifacts with Parts-Based Detectors—0
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes—0
Forensic deepfake audio detection using segmental speech features—0
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks—0
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations—0
Self-Supervised Graph Transformer for Deepfake Detection—0
Self-supervised Transformer for Deepfake Detection—0
Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes—0
SHIELD: A Secure and Highly Enhanced Integrated Learning for Robust Deepfake Detection against Adversarial Attacks—0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection—0
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking—0
SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework—0
Spatio-temporal Features for Generalized Detection of Deepfake Videos—0
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild—0
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding—0
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection—0
Statistics-aware Audio-visual Deepfake Detector—0
STOPA: A Database of Systematic VariaTion Of DeePfake Audio for Open-Set Source Tracing and Attribution—0
Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection—0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition—0
Synthetic Art Generation and DeepFake Detection A Study on Jamini Roy Inspired Dataset—0
TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection—0
Targeted Augmented Data for Audio Deepfake Detection—0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
X^2-DFD: A framework for eXplainable and eXtendable Deepfake Detection—0
Text Modality Oriented Image Feature Extraction for Detecting Diffusion-based DeepFake—0
Texture, Shape and Order Matter: A New Transformer Design for Sequential DeepFake Detection—0
The Deepfake Detection Challenge (DFDC) Preview Dataset—0
The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Media—0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023—0
The Effectiveness of Temporal Dependency in Deepfake Video Detection—0
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild—0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles—0
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content—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