DeepFake Detection
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Benchmarks
FakeAVCeleb
FaceForensics++
DFDC
FaceForensics
1
COCOFake
DFFD
LAV-DF
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Most implemented
FaceForensics++: Learning to Detect Manipulated Facial Images
Taming Transformers for High-Resolution Image Synthesis
The DeepFake Detection Challenge (DFDC) Dataset
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
MesoNet: a Compact Facial Video Forgery Detection Network
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
Papers
From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection
Speech deepfakes can mimic a speaker's voice convincingly enough to deceive listeners and automated systems. This has driven strong progress in speech deepfake detection, but most detectors still end with one score per u…
DeepFake DetectionAdaptive Gated Deepfake Detection for Low-Resolution and Resource-Constrained Environments
Deepfake detection models often rely on high-quality inputs, fixed inference paths, and computationally expensive architectures, limiting their use in low-resolution and resource-constrained settings. This paper proposes…
Computational EfficiencyDeepFake DetectionDF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts
Audio-visual deepfake detection is an actively studied topic, where one of the main challenges is to develop detectors able to generalize across deepfake generation methods. We conjecture that overfitting can be mitigate…
DeepFake DetectionFace ParsingExplainable Deepfake Detection with Feature-robust Augmentation and Evidence-grounded Explanation Optimization
Explainable deepfake detection extends binary classification by requiring models to not only predict authenticity but also provide interpretable justifications. This expanded scope is critical in practice, where users li…
Binary ClassificationContrastive LearningDeepFake DetectionEnvironment-Invariant Subspace Learning for Generalizable Deepfake Detection
Cross-distribution generalization remains a critical bottleneck in deepfake detection. While recent efforts leverage the semantic priors of large-scale visual foundation models (VFMs), a noteworthy yet underexplored chal…
DeepFake DetectionSpreadMark: Robust Image Watermarking via Spread-Spectrum Embedding
Invisible image watermarks are increasingly used for deepfake detection and provenance tracking, where they must survive not only incidental distortions but also deliberate removal. We revisit spread-spectrum embedding, …
DeepFake Detection