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 451475 of 580 papers

TitleStatusHype
Metamorphic Testing-based Adversarial Attack to Fool Deepfake Detectors0
Detecting Deepfakes with Self-Blended ImagesCode2
Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery LocalizationCode1
Audio-Visual Person-of-Interest DeepFake DetectionCode1
Does Audio Deepfake Detection Generalize?0
Attacker Attribution of Audio Deepfakes0
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake DetectionCode1
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions0
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection0
Transferable Class-Modelling for Decentralized Source Attribution of GAN-Generated ImagesCode0
Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing0
Towards Benchmarking and Evaluating Deepfake Detection0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge0
Self-supervised Transformer for Deepfake Detection0
MRI-GAN: A Generalized Approach to Detect DeepFakes using Perceptual Image AssessmentCode1
Deepfake Network Architecture AttributionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
Deepfake Detection for Facial Images with Facemasks0
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era0
ADD 2022: the First Audio Deep Synthesis Detection Challenge0
Robust Deepfake On Unrestricted Media: Generation And Detection0
A Review of Deep Learning-based Approaches for Deepfake Content Detection0
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles0
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations0
Block shuffling learning for Deepfake DetectionCode0
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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