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SotA/Audio/DeepFake Detection

DeepFake Detection

26 benchmarks580 papers

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

Benchmarks

DeepFake Detection on FakeAVCeleb

ROC AUCAPAccuracy (%)

DeepFake Detection on ASVspoof 2021

21LA EER21DF EER

DeepFake Detection on FaceForensics++

AUCLogLoss

DeepFake Detection on DFDC

AUCLogLoss

DeepFake Detection on 1

0L

DeepFake Detection on CIFAKE: Real and AI-Generated Synthetic Images

AUCValidation Accuracy

DeepFake Detection on COCOFake

AUCAccuracy

DeepFake Detection on DFFD

AUCAccuracy

DeepFake Detection on FaceForensics

DFFSFSFNTRealTotal Accuracy

DeepFake Detection on FakeOrReal

EER

DeepFake Detection on LAV-DF

AUC

DeepFake Detection on ^(#$!@#$)(()))******

0..5sec

DeepFake Detection on วีเค..!! ชมคลิป ‘ไอซ์ ปรีชญา’ ลืมปิดถ่ายทอดสดขณะอาบน้ำ โด

0-shot MRR