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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 580 papers

TitleStatusHype
X^2-DFD: A framework for eXplainable and eXtendable Deepfake Detection—0
Herd Mentality in Augmentation -- Not a Good Idea! A Robust Multi-stage Approach towards Deepfake DetectionCode0
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable DiffusionCode2
Exploring Strengths and Weaknesses of Super-Resolution Attack in Deepfake Detection—0
A Multimodal Framework for Deepfake Detection—0
Social Media Authentication and Combating Deepfakes using Semi-fragile Invisible Image Watermarking—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Self-supervised Auxiliary Learning for Texture and Model-based Hybrid Robust and Fair Featuring in Face Analysis—0
Wavelet-Driven Generalizable Framework for Deepfake Face Forgery DetectionCode1
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System—0
Face Forgery Detection with Elaborate BackboneCode1
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection—0
Leveraging Mixture of Experts for Improved Speech Deepfake Detection—0
Deep Learning Technology for Face Forgery Detection: A Survey—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition—0
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models—0
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild—0
Shaking the Fake: Detecting Deepfake Videos in Real Time via Active Probes—0
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
DeCLIP: Decoding CLIP representations for deepfake localizationCode1
1M-Deepfakes Detection ChallengeCode2
Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features—0
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection—0
Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection—0
USTC-KXDIGIT System Description for ASVspoof5 Challenge—0
Speech Foundation Model Ensembles for the Controlled Singing Voice Deepfake Detection (CtrSVDD) Challenge 2024Code2
AASIST3: KAN-Enhanced AASIST Speech Deepfake Detection using SSL Features and Additional Regularization for the ASVspoof 2024 Challenge—0
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding ApproachCode0
SVDD 2024: The Inaugural Singing Voice Deepfake Detection ChallengeCode1
Easy, Interpretable, Effective: openSMILE for voice deepfake detection—0
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection SystemsCode0
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals—0
Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection—0
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style MixtureCode0
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge—0
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionCode2
Penny-Wise and Pound-Foolish in Deepfake DetectionCode0
WavLM model ensemble for audio deepfake detectionCode0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping—0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies—0
ED^4: Explicit Data-level Debiasing for Deepfake Detection—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake DetectionCode0
Multiple Contexts and Frequencies Aggregation Network forDeepfake Detection—0
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and LocalizationCode1
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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