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 526550 of 580 papers

TitleStatusHype
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes0
Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection0
Harder or Different? Understanding Generalization of Audio Deepfake Detection0
Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset0
How Close are Other Computer Vision Tasks to Deepfake Detection?0
How Good is ChatGPT at Audiovisual Deepfake Detection: A Comparative Study of ChatGPT, AI Models and Human Perception0
Human Perception of Audio Deepfakes0
CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features0
Hybrid Transformer Network for Deepfake Detection0
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection0
Identifying Invariant Texture Violation for Robust Deepfake Detection0
Identifying the Context Shift between Test Benchmarks and Production Data0
Identity-Driven DeepFake Detection0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping0
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors0
Impact of Video Processing Operations in Deepfake Detection0
CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition0
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis0
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection0
Integrating Audio-Visual Features for Multimodal Deepfake Detection0
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes0
Introducing Explicit Gaze Constraints to Face Swapping0
Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features0
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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