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

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Showing 251–300 of 580 papers

TitleStatusHype
REALEDIT: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations—0
Deepfake Detection of Singing Voices With Whisper Encodings—0
Extending Information Bottleneck Attribution to Video SequencesCode0
DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection—0
Classifying Deepfakes Using Swin Transformers—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection—0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain—0
Audio-Visual Deepfake Detection With Local Temporal Inconsistencies—0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing—0
Towards Interactive Deepfake AnalysisCode0
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing—0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection—0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Data-Driven Fairness Generalization for Deepfake Detection—0
FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers—0
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes—0
Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content—0
FaceShield: Defending Facial Image against Deepfake Threats—0
Is it the model or the metric -- On robustness measures of deeplearning models—0
Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection—0
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding—0
Nearly Solved? Robust Deepfake Detection Requires More than Visual Forensics—0
Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures—0
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models—0
RealSeal: Revolutionizing Media Authentication with Real-Time Realism Scoring—0
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey—0
Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset—0
Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach—0
DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and LocalizationCode0
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception—0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model GeneralizationCode0
Understanding Audiovisual Deepfake Detection: Techniques, Challenges, Human Factors and Perceptual Insights—0
A Quality-Centric Framework for Generic Deepfake Detection—0
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
Unexploited Information Value in Human-AI Collaboration—0
DIP: Diffusion Learning of Inconsistency Pattern for General DeepFake Detection—0
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
Meta-Learning Approaches for Improving Detection of Unseen Speech Deepfakes—0
Towards General Deepfake Detection with Dynamic Curriculum—0
Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection—0
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection—0
DPL: Cross-quality DeepFake Detection via Dual Progressive Learning—0
Deepfake detection in videos with multiple faces using geometric-fakeness features—0
Diffuse or Confuse: A Diffusion Deepfake Speech DatasetCode0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
X^2-DFD: A framework for eXplainable and eXtendable Deepfake Detection—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