The DOI matches its Crossref record.
DF40: Toward Next-Generation Deepfake Detection
Overview
Integrity signals
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Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Visual modality datasets dominate with over 20 publicly available resources, while audio modality datasets are fewer, with 11 notable datasets.
“Visual modality datasets dominate with over 20 publicly available resources [29, 30, 30-44], while audio modality datasets are fewer, with 11 notable datasets [45-55].”
From Deepfake detection across image, video, and audio: a comprehensive survey with empirical evaluation of generalization and robustness (2026) · cites this paper as [33]
Most existing datasets still lack diversity in diffusion-based deepfakes, although newer datasets like DF40 and DiffusionForensics have started to include them.
“While newer datasets like DF40 [33] and DiffusionForensics [32] have started to include diffusion-based DFs, most existing datasets still lack this diversity.”
From Deepfake detection across image, video, and audio: a comprehensive survey with empirical evaluation of generalization and robustness (2026) · cites this paper as [33]
Citations
Cited by
Sorted by citations
Nguyen-Le, H.-H., Tran, V.-T., Nguyen, D.-T., & Le-Khac, N.-A. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-026-11608-4 · Cited by 28
Metadata
- Authors
- Yan, Z., Yao, T., Chen, S., Zhao, Y., Fu, X., Zhu, J., Luo, D., Wang, C., Ding, S., Wu, Y., & Yuan, L.
- ORCID
- Yao, Taiping
- Venue
- Advances in Neural Information Processing Systems 37
- Published
- 2024
- Pages
- 29387-29434
- ISSN
- 1049-5258 (ISSN-L)
- OpenAlex
- W4415798113
- Cited by
- 59
- References
- 0
- Citations by year
- 2026: 55 · 2025: 4
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- neural information processing systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Keywords
- deepfake detection, deepfakes, synthetic media, video forgery
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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