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 501–550 of 580 papers

TitleStatusHype
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities—0
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection—0
Dodging DeepFake Detection via Implicit Spatial-Domain Notch Filtering—0
FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations—0
FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units—0
Fighting Deepfake by Exposing the Convolutional Traces on Images—0
Fighting deepfakes by detecting GAN DCT anomalies—0
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection—0
Finding Facial Forgery Artifacts with Parts-Based Detectors—0
Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes—0
Forensic deepfake audio detection using segmental speech features—0
FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks—0
FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbations—0
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge—0
FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing—0
FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learning—0
FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers—0
From Sharpness to Better Generalization for Speech Deepfake Detection—0
GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning—0
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
Generalizable Deepfake Detection with Phase-Based Motion Analysis—0
Generalizable speech deepfake detection via meta-learned LoRA—0
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection—0
GROOT: Generating Robust Watermark for Diffusion-Model-Based Audio Synthesis—0
Guard Me If You Know Me: Protecting Specific Face-Identity from Deepfakes—0
Guided and Fused: Efficient Frozen CLIP-ViT with Feature Guidance and Multi-Stage Feature Fusion for Generalizable Deepfake Detection—0
Harder or Different? Understanding Generalization of Audio Deepfake Detection—0
Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset—0
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 Perception—0
Human Perception of Audio Deepfakes—0
CAE-Net: Generalized Deepfake Image Detection using Convolution and Attention Mechanisms with Spatial and Frequency Domain Features—0
Hybrid Transformer Network for Deepfake Detection—0
HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection—0
Identifying Invariant Texture Violation for Robust Deepfake Detection—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
Identity-Driven DeepFake Detection—0
IDRetracor: Towards Visual Forensics Against Malicious Face Swapping—0
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors—0
Impact of Video Processing Operations in Deepfake Detection—0
CrossDF: Improving Cross-Domain Deepfake Detection with Deep Information Decomposition—0
Improving Video Deepfake Detection: A DCT-Based Approach with Patch-Level Analysis—0
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol—0
Inclusion 2024 Global Multimedia Deepfake Detection Challenge: Towards Multi-dimensional Face Forgery Detection—0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
Integrating Audio-Visual Features for Multimodal Deepfake Detection—0
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes—0
Introducing Explicit Gaze Constraints to Face Swapping—0
Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features—0
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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