mlsanityData to 14 Oct 2026

The Deepfake Detection Challenge (DFDC) Preview Dataset

arXiv 1910.08854 ↗First posted 19 Oct 2019cs.CV cs.CYcited by 209

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Abstract (arXiv)

In this paper, we introduce a preview of the Deepfakes Detection Challenge (DFDC) dataset consisting of 5K videos featuring two facial modification algorithms. A data collection campaign has been carried out where participating actors have entered into an agreement to the use and manipulation of their likenesses in our creation of the dataset. Diversity in several axes (gender, skin-tone, age, etc.) has been considered and actors recorded videos with arbitrary backgrounds thus bringing visual variability. Finally, a set of specific metrics to evaluate the performance have been defined and two existing models for detecting deepfakes have been tested to provide a reference performance baseline. The DFDC dataset preview can be downloaded at: deepfakedetectionchallenge.ai

Key facts. Cited by 209 papers in the map (data through 14 Oct 2026). First posted on arXiv 19 Oct 2019.

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Citing papers per year: 2021: 40; 2022: 34; 2023: 40; 2024: 38; 2025: 29; 2026: 28.

209 papers.

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  1. 2021Generalized Out-of-Distribution Detection: A Surveycited by 802
  2. 2021StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesiscited by 477
  3. 2022Detecting Deepfakes with Self-Blended Imagescited by 338
  4. 2021WildDeepfake: A Challenging Real-World Dataset for Deepfake Detectioncited by 209
  5. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 181
  6. 2023DeepfakeBench: A Comprehensive Benchmark of Deepfake Detectioncited by 166
  7. 2023Hierarchical Fine-Grained Image Forgery Detection and Localizationcited by 134
  8. 2023Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detectioncited by 127
  9. 2021Instance-Conditioned GANcited by 121
  10. 2022Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generationcited by 119
  11. 2021One Shot Face Swapping on Megapixelscited by 105
  12. 2024Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detectioncited by 105
38 more
  1. 2021Local Relation Learning for Face Forgery Detectioncited by 100
  2. 2021HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swappingcited by 92
  3. 2024LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detectioncited by 89
  4. 2021Spatiotemporal Inconsistency Learning for DeepFake Video Detectioncited by 88
  5. 2021Face Forensics in the Wildcited by 87
  6. 2021Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forwardcited by 82
  7. 2021KoDF: A Large-scale Korean DeepFake Detection Datasetcited by 80
  8. 2021Towards Measuring Fairness in AI: the Casual Conversations Datasetcited by 80
  9. 2022FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbationscited by 75
  10. 2022CORE: Consistent Representation Learning for Face Forgery Detectioncited by 74
  11. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 67
  12. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  13. 2021BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detectioncited by 60
  14. 2024Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuningcited by 59
  15. 2021Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowdscited by 58
  16. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  17. 2023Detecting and Grounding Multi-Modal Media Manipulation and Beyondcited by 56
  18. 2023Multimodal Automated Fact-Checking: A Surveycited by 53
  19. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 50
  20. 2023Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detectioncited by 50
  21. 2021TextStyleBrush: Transfer of Text Aesthetics from a Single Examplecited by 49
  22. 2022SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakescited by 49
  23. 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledgecited by 48
  24. 2022Exploring Frequency Adversarial Attacks for Face Forgery Detectioncited by 45
  25. 2021FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learningcited by 44
  26. 2022Audio-Visual Person-of-Interest DeepFake Detectioncited by 43
  27. 2021CoReD: Generalizing Fake Media Detection with Continual Representation using Distillationcited by 37
  28. 2024X2-DFD: A framework for eXplainable and eXtendable Deepfake Detectioncited by 35
  29. 2022Detecting and Recovering Sequential DeepFake Manipulationcited by 34
  30. 2021One Detector to Rule Them All: Towards a General Deepfake Attack Detection Frameworkcited by 33
  31. 2023UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localizationcited by 33
  32. 2024Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detectioncited by 31
  33. 2024DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysiscited by 30
  34. 2024Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detectioncited by 30
  35. 2024MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detectioncited by 27
  36. 2025Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixingcited by 27
  37. 2023Locate and Verify: A Two-Stream Network for Improved Deepfake Detectioncited by 26
  38. 2024Learning Natural Consistency Representation for Face Forgery Video Detectioncited by 26

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