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 151200 of 580 papers

TitleStatusHype
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake DetectionCode1
Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and LocalizationCode1
Exposing Lip-syncing Deepfakes from Mouth InconsistenciesCode1
FaceForensics++: Learning to Detect Manipulated Facial ImagesCode1
Deepfake Detection Scheme Based on Vision Transformer and DistillationCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Face Forgery Detection with Elaborate BackboneCode1
D^3: Scaling Up Deepfake Detection by Learning from DiscrepancyCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
FFR_FD: Effective and Fast Detection of DeepFakes Based on Feature Point DefectsCode1
SVDD 2024: The Inaugural Singing Voice Deepfake Detection ChallengeCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
GBDF: Gender Balanced DeepFake Dataset Towards Fair DeepFake DetectionCode1
Generalizable Deepfake Detection via Effective Local-Global Feature ExtractionCode1
Celeb-DF: A Large-scale Challenging Dataset for DeepFake ForensicsCode1
Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024Code1
GOTCHA: Real-Time Video Deepfake Detection via Challenge-ResponseCode1
Deepfake Forensics via An Adversarial GameCode1
HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake DetectionCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
Deepfake Media Generation and Detection in the Generative AI Era: A Survey and OutlookCode1
DeepFake MNIST+: A DeepFake Facial Animation DatasetCode1
Aggregating Layers for Deepfake DetectionCode0
Semantics-Oriented Multitask Learning for DeepFake Detection: A Joint Embedding ApproachCode0
Robust AI-Generated Face Detection with Imbalanced DataCode0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
WWW: Where, Which and Whatever Enhancing Interpretability in Multimodal Deepfake DetectionCode0
Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social NetworksCode0
Deepfake Detection by Human Crowds, Machines, and Machine-informed CrowdsCode0
Penny-Wise and Pound-Foolish in Deepfake DetectionCode0
Are Watermarks Bugs for Deepfake Detectors? Rethinking Proactive ForensicsCode0
PolyGlotFake: A Novel Multilingual and Multimodal DeepFake DatasetCode0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style MixtureCode0
Practical Manipulation Model for Robust Deepfake DetectionCode0
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake DetectionCode0
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual ManipulationsCode0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detectionCode0
Measuring the Robustness of Audio Deepfake DetectorsCode0
LoRAX: LoRA eXpandable Networks for Continual Synthetic Image AttributionCode0
Preserving AUC Fairness in Learning with Noisy Protected GroupsCode0
Learning Pairwise Interaction for Generalizable DeepFake DetectionCode0
CAMME: Adaptive Deepfake Image Detection with Multi-Modal Cross-AttentionCode0
A War Beyond Deepfake: Benchmarking Facial Counterfeits and CountermeasuresCode0
Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated SamplesCode0
2D-Malafide: Adversarial Attacks Against Face Deepfake Detection SystemsCode0
Individualized Deepfake Detection Exploiting Traces Due to Double Neural-Network OperationsCode0
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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