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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 351–360 of 580 papers

Title	Date	Tasks	Status
A War Beyond Deepfake: Benchmarking Facial Counterfeits and Countermeasures	Nov 25, 2021	BenchmarkingDeepFake Detection	—Unverified
Advancing High Fidelity Identity Swapping for Forgery Detection	Jun 1, 2020	DeepFake DetectionFace Swapping	—Unverified
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning	Feb 6, 2024	DeepFake DetectionFace Swapping	—Unverified
Adversarially robust deepfake media detection using fused convolutional neural network predictions	Feb 11, 2021	Adversarial AttackDeepFake Detection	—Unverified
Adversarial Threats to DeepFake Detection: A Practical Perspective	Nov 19, 2020	DeepFake DetectionFace Swapping	—Unverified
Investigating the Impact of Pre-processing and Prediction Aggregation on the DeepFake Detection Task	Jun 12, 2020	DeepFake DetectionFace Swapping	—Unverified
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features	Jul 28, 2022	DeepFake DetectionFace Swapping	—Unverified
A Hybrid Quantum-Classical AI-Based Detection Strategy for Generative Adversarial Network-Based Deepfake Attacks on an Autonomous Vehicle Traffic Sign Classification System	Sep 25, 2024	Autonomous VehiclesDeepFake Detection	—Unverified
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions	Dec 24, 2023	Decision MakingDeepFake Detection	—Unverified
A Machine Learning Approach for DeepFake Detection	Sep 28, 2022	DeepFake DetectionFace Swapping	—Unverified

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All datasets FakeAVCeleb FaceForensics DFDC 1 CIFAKE: Real and AI-Generated Synthetic Images COCOFake DFFD LAV-DF

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	AV-Lip-Sync+	Accuracy (%)	99.29	—	Unverified
2	Avtenet	Accuracy (%)	98.57	—	Unverified
3	FACTOR	ROC AUC	97.4	—	Unverified
4	RealForensics	ROC AUC	97.1	—	Unverified
5	AVAD	ROC AUC	94.5	—	Unverified
6	AV-Lip-Sync Model	Accuracy (%)	94	—	Unverified
7	FTCN	ROC AUC	93.1	—	Unverified
8	LipForensics	ROC AUC	91.1	—	Unverified
9	Multimodal Ensemble Model	Accuracy (%)	89	—	Unverified
10	AD DFD	ROC AUC	88.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XceptionNet	DF	96.36	—	Unverified
2	QAD-E	AUC	0.96	—	Unverified
3	EfficientNetB4 + EfficientNetB4ST + B4Att + B4AttST	AUC	0.94	—	Unverified
4	MARLIN (ViT-L)	AUC	0.94	—	Unverified
5	MARLIN (ViT-B)	AUC	0.93	—	Unverified
6	MARLIN (ViT-S)	AUC	0.89	—	Unverified
7	EfficientNetB4 + EfficientNetB4ST + B4AttST	LogLoss	0.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Cross Efficient Vision Transformer	AUC	0.95	—	Unverified
2	Efficient Vision Transformer	AUC	0.92	—	Unverified
3	EfficientNetB4 + EfficientNetB4ST + B4Att	LogLoss	0.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STYLE	0L	99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FasterThanLies	AUC	99.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FasterThanLies	AUC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FasterThanLies	AUC	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BA-TFD	AUC	0.99	—	Unverified