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 150 of 580 papers

TitleStatusHype
DeepFakes and Beyond: A Survey of Face Manipulation and Fake DetectionCode4
DF40: Toward Next-Generation Deepfake DetectionCode3
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A SurveyCode3
UnMarker: A Universal Attack on Defensive Image WatermarkingCode3
DeepFake-O-Meter v2.0: An Open Platform for DeepFake DetectionCode3
Common Sense Reasoning for Deepfake DetectionCode3
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake DetectionCode3
DeepfakeBench: A Comprehensive Benchmark of Deepfake DetectionCode3
UCF: Uncovering Common Features for Generalizable Deepfake DetectionCode3
ForensicHub: A Unified Benchmark & Codebase for All-Domain Fake Image Detection and LocalizationCode2
Nes2Net: A Lightweight Nested Architecture for Foundation Model Driven Speech Anti-spoofingCode2
Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face DetectorCode2
Unlocking the Hidden Potential of CLIP in Generalizable Deepfake DetectionCode2
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation LearningCode2
SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal ModelCode2
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable DiffusionCode2
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
1M-Deepfakes Detection ChallengeCode2
Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024Code2
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionCode2
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local SimilaritiesCode2
Faster Than Lies: Real-time Deepfake Detection using Binary Neural NetworksCode2
DeMamba: AI-Generated Video Detection on Million-Scale GenVideo BenchmarkCode2
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
Detecting music deepfakes is easy but actually hardCode2
Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake DetectionCode2
Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space LearningCode2
Exposing the Deception: Uncovering More Forgery Clues for Deepfake DetectionCode2
Preserving Fairness Generalization in Deepfake DetectionCode2
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakesCode2
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake DetectionCode2
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake DetectionCode2
Detecting and Grounding Multi-Modal Media Manipulation and BeyondCode2
Detecting and Grounding Multi-Modal Media ManipulationCode2
MARLIN: Masked Autoencoder for facial video Representation LearnINgCode2
Detecting Deepfakes with Self-Blended ImagesCode2
Unmasking real-world audio deepfakes: A data-centric approachCode1
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and ExplanationCode1
WaveGuard: Robust Deepfake Detection and Source Tracing via Dual-Tree Complex Wavelet and Graph Neural NetworksCode1
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Generalizable Deepfake Detection via Effective Local-Global Feature ExtractionCode1
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake DetectionCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation ModelCode1
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
Show:102550
← PrevPage 1 of 12Next →

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