AV-Deepfake1M++: A Large-Scale Audio-Visual Deepfake Benchmark with Real-World Perturbations
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Abstract (arXiv)
The rapid surge of text-to-speech and face-voice reenactment models makes video fabrication easier and highly realistic. To encounter this problem, we require datasets that rich in type of generation methods and perturbation strategy which is usually common for online videos. To this end, we propose AV-Deepfake1M++, an extension of the AV-Deepfake1M having 2 million video clips with diversified manipulation strategy and audio-visual perturbation. This paper includes the description of data generation strategies along with benchmarking of AV-Deepfake1M++ using state-of-the-art methods. We believe that this dataset will play a pivotal role in facilitating research in Deepfake domain. Based on this dataset, we host the 2025 1M-Deepfakes Detection Challenge. The challenge details, dataset and evaluation scripts are available online under a research-only license at https://deepfakes1m.github.io/2025.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 33 of its 49 references that are in the map. First posted on arXiv 28 Jul 2025.
Builds on
33 of 49 references.
References · 33
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21 more
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Built on by
Citing papers per year: 2025: 3; 2026: 5.
8 papers.
- 2026Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalitiescited by 6
- 2025Pindrop it! Audio and Visual Deepfake Countermeasures for Robust Detection and Fine Grained-Localizationcited by 3
- 2025DGM4+: Dataset Extension for Global Scene Inconsistencycited by 2
- 2026Explainable Deepfake Detection Challengecited by 2
- 2026Detecting AI-Generated Video: A Vision-Language Dual-View Surveycited by 1
- 2025SGS: Segmentation-Guided Scoring for Global Scene Inconsistenciescited by 0
- 2026Towards multi-modal forgery representation learning for AI-generated video detection and localizationcited by 0
- 2026PC-Mix: Partial-Component Audio Spoofing Detection under Mixed Speech and Environmental Sound Conditionscited by 0
- 2026Explainable Deepfake Detection Challenge23 Jul 2026
- 2026Detecting AI-Generated Video: A Vision-Language Dual-View Survey12 Jul 2026
- 2026PC-Mix: Partial-Component Audio Spoofing Detection under Mixed Speech and Environmental Sound Conditions11 Jul 2026
- 2026Towards multi-modal forgery representation learning for AI-generated video detection and localization8 May 2026
- 2026Beyond Surface Artifacts: Capturing Shared Latent Forgery Knowledge Across Modalities9 Apr 2026
- 2025DGM4+: Dataset Extension for Global Scene Inconsistency30 Sep 2025
- 2025SGS: Segmentation-Guided Scoring for Global Scene Inconsistencies30 Sep 2025
- 2025Pindrop it! Audio and Visual Deepfake Countermeasures for Robust Detection and Fine Grained-Localization11 Aug 2025