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 76100 of 580 papers

TitleStatusHype
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge LearningCode1
Exposing Lip-syncing Deepfakes from Mouth InconsistenciesCode1
Frequency Masking for Universal Deepfake DetectionCode1
Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake DetectionCode1
Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning ApproachCode1
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake DetectionCode1
DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake DetectionCode1
AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake DatasetCode1
Weakly-supervised deepfake localization in diffusion-generated imagesCode1
Detecting Deepfakes Without Seeing AnyCode1
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked AutoencodersCode1
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Robust Sequential DeepFake DetectionCode1
Contrastive Pseudo Learning for Open-World DeepFake AttributionCode1
Locate and Verify: A Two-Stream Network for Improved Deepfake DetectionCode1
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery CluesCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
SingFake: Singing Voice Deepfake DetectionCode1
Robustness and Generalizability of Deepfake Detection: A Study with Diffusion ModelsCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated ExamplesCode1
Deepfake Video Detection Using Generative Convolutional Vision TransformerCode1
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and LocalizationCode1
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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