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 351375 of 580 papers

TitleStatusHype
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures0
Advancing High Fidelity Identity Swapping for Forgery Detection0
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning0
Adversarially robust deepfake media detection using fused convolutional neural network predictions0
Adversarial Threats to DeepFake Detection: A Practical Perspective0
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task0
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features0
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System0
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions0
A Machine Learning Approach for DeepFake Detection0
A Multimodal Framework for Deepfake Detection0
Analyzing the Impact of Splicing Artifacts in Partially Fake Speech Signals0
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions0
An Examination of Fairness of AI Models for Deepfake Detection0
An Experimental Evaluation on Deepfake Detection using Deep Face Recognition0
Anisotropic multiresolution analyses for deepfake detection0
Anomaly Detection and Localization for Speech Deepfakes via Feature Pyramid Matching0
A Note on Deepfake Detection with Low-Resources0
A novel approach for detecting deep fake videos using graph neural network0
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection0
A Preliminary Exploration with GPT-4o Voice Mode0
A Quality-Centric Framework for Generic Deepfake Detection0
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models0
A Review of Deep Learning-based Approaches for Deepfake Content Detection0
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis0
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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