mlsanityData to 7 Oct 2026

KoDF: A Large-scale Korean DeepFake Detection Dataset

arXiv 2103.10094 ↗First posted 18 Mar 2021cs.CV cs.LGcited by 80

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Abstract (arXiv)

A variety of effective face-swap and face-reenactment methods have been publicized in recent years, democratizing the face synthesis technology to a great extent. Videos generated as such have come to be called deepfakes with a negative connotation, for various social problems they have caused. Facing the emerging threat of deepfakes, we have built the Korean DeepFake Detection Dataset (KoDF), a large-scale collection of synthesized and real videos focused on Korean subjects. In this paper, we provide a detailed description of methods used to construct the dataset, experimentally show the discrepancy between the distributions of KoDF and existing deepfake detection datasets, and underline the importance of using multiple datasets for real-world generalization. KoDF is publicly available at https://moneybrain-research.github.io/kodf in its entirety (i.e. real clips, synthesized clips, clips with adversarial attack, and metadata).

Key facts. Cited by 80 papers in the map (data through 7 Oct 2026). Builds on 29 of its 55 references that are in the map. First posted on arXiv 18 Mar 2021.

Builds on

29 of 55 references.

References · 29

  1. 2014Explaining and Harnessing Adversarial Examplescited by 7,287
  2. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  3. 2019FaceForensics++: Learning to Detect Manipulated Facial Imagescited by 1,095
  4. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  5. 2019CNN-generated images are surprisingly easy to spot... for nowcited by 842
  6. 2017VoxCeleb: a large-scale speaker identification datasetcited by 714
  7. 2020First Order Motion Model for Image Animationcited by 698
  8. 2020A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wildcited by 669
  9. 2019Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensicscited by 573
  10. 2017How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)cited by 524
  11. 2019FSGAN: Subject Agnostic Face Swapping and Reenactmentcited by 319
  12. 2018Exposing Deep Fakes Using Inconsistent Head Posescited by 294
17 more
  1. 2020DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detectioncited by 251
  2. 2020DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detectioncited by 231
  3. 2016Lip Reading Sentences in the Wildcited by 226
  4. 2018DeepFakes: a New Threat to Face Recognition? Assessment and Detectioncited by 208
  5. 2019The Deepfake Detection Challenge (DFDC) Preview Datasetcited by 208
  6. 2020Two-branch Recurrent Network for Isolating Deepfakes in Videoscited by 161
  7. 2019Recurrent Convolutional Strategies for Face Manipulation Detection in Videoscited by 118
  8. 2020Audio-driven Talking Face Video Generation with Learning-based Personalized Head Posecited by 92
  9. 2020Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examplescited by 66
  10. 2019FDA: Feature Disruptive Attackcited by 55
  11. 2020Sharp Multiple Instance Learning for DeepFake Video Detectioncited by 54
  12. 2020Adversarial Perturbations Fool Deepfake Detectorscited by 48
  13. 2020Adversarial Threats to DeepFake Detection: A Practical Perspectivecited by 48
  14. 2020DeepFakesON-Phys: DeepFakes Detection based on Heart Rate Estimationcited by 28
  15. 2020DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performancecited by 22
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  17. 2020VideoForensicsHQ: Detecting High-quality Manipulated Face Videoscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 11; 2023: 15; 2024: 18; 2025: 22; 2026: 10.

80 papers.

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  1. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 179
  2. 2024DF40: Toward Next-Generation Deepfake Detectioncited by 126
  3. 2023TALL: Thumbnail Layout for Deepfake Video Detectioncited by 100
  4. 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detectioncited by 84
  5. 2023AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Datasetcited by 79
  6. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  7. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 66
  8. 2021BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detectioncited by 60
  9. 2024AVFF: Audio-Visual Feature Fusion for Video Deepfake Detectioncited by 59
  10. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  11. 2024Community Forensics: Using Thousands of Generators to Train Fake Image Detectorscited by 50
  12. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 48
38 more
  1. 2022Audio-Visual Person-of-Interest DeepFake Detectioncited by 43
  2. 2023Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localizationcited by 42
  3. 2021Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectorscited by 32
  4. 2025BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanationcited by 30
  5. 2025BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLMcited by 28
  6. 2024Circumventing shortcuts in audio-visual deepfake detection datasets with unsupervised learningcited by 23
  7. 2024Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detectioncited by 21
  8. 2025Deepfake Detection that Generalizes Across Benchmarkscited by 20
  9. 2022Deep Convolutional Pooling Transformer for Deepfake Detectioncited by 19
  10. 2025Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensicscited by 18
  11. 2022Digital and Physical Face Attacks: Reviewing and One Step Furthercited by 17
  12. 2023Detecting Deepfakes Without Seeing Anycited by 17
  13. 2024PolyGlotFake: A Novel Multilingual and Multimodal DeepFake Datasetcited by 16
  14. 2023The Age of Synthetic Realities: Challenges and Opportunitiescited by 15
  15. 2024Exposing Lip-syncing Deepfakes from Mouth Inconsistenciescited by 15
  16. 2022Analyzing Fairness in Deepfake Detection With Massively Annotated Databasescited by 13
  17. 2024GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learningcited by 12
  18. 2024A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authenticationcited by 12
  19. 2024DiMoDif: Discourse Modality-information Differentiation for Audio-visual Deepfake Detection and Localizationcited by 12
  20. 2025Beyond Spatial Frequency: Pixel-wise Temporal Frequency-based Deepfake Video Detectioncited by 12
  21. 2023Learning Pairwise Interaction for Generalizable DeepFake Detectioncited by 11
  22. 2023Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videoscited by 11
  23. 2023MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detectioncited by 10
  24. 2024Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlookcited by 10
  25. 2023Integrating Audio-Visual Features for Multimodal Deepfake Detectioncited by 9
  26. 2022DeePhy: On Deepfake Phylogenycited by 8
  27. 2023Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistenciescited by 8
  28. 2024Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Methodcited by 8
  29. 2025AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbationscited by 8
  30. 2022Trusted Media Challenge Dataset and User Studycited by 7
  31. 2025Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistenciescited by 7
  32. 2025Beyond Face Swapping: A Diffusion-Based Digital Human Benchmark for Multimodal Deepfake Detectioncited by 7
  33. 2022The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wildcited by 6
  34. 2022Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysiscited by 6
  35. 2022Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Reviewcited by 6
  36. 2024Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challengescited by 6
  37. 2025Learning Real Facial Concepts for Independent Deepfake Detectioncited by 6
  38. 2025Tell me Habibi, is it Real or Fake?cited by 6

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