Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook
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Abstract (arXiv)
We survey deepfake generation and detection techniques, covering all deepfake media types: image, video, audio and multimodal content. We identify various kinds of deepfakes and construct taxonomies of deepfake generation and detection methods, illustrating the important groups of methods. Next, we gather datasets used for deepfake detection and provide updated rankings of the best performing detectors on the most popular datasets. In addition, we develop a novel multimodal benchmark to evaluate deepfake detectors on out-of-distribution content. The results indicate that state-of-the-art detectors fail to generalize to deepfakes generated by unseen generators. Our project page and new benchmark are available at https://github.com/CroitoruAlin/biodeep.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 277 of its 391 references that are in the map. First posted on arXiv 29 Nov 2024.
Builds on
277 of 391 references.
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Citing papers per year: 2024: 1; 2025: 4; 2026: 5.
10 papers.
- 2025ExDDV: A New Dataset for Explainable Deepfake Detection in Videocited by 10
- 2025MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmarkcited by 9
- 2024Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detectioncited by 1
- 2025XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmarkcited by 1
- 2026Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detectioncited by 1
- 2026DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalitiescited by 1
- 2026Detecting AI-Generated Video: A Vision-Language Dual-View Surveycited by 1
- 2025Dataset of News Articles with Provenance Metadata for Media Relevance Assessmentcited by 0
- 2026Moir'e Video Authentication: A Physical Signature Against AI Video Generationcited by 0
- 2026DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Expertscited by 0
- 2026DF-MoE: Generalizable Deepfake Detection via Multimodal Sparse Mixture-of-Experts24 Aug 2026
- 2026Detecting AI-Generated Video: A Vision-Language Dual-View Survey12 Jul 2026
- 2026DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities2 Jun 2026
- 2026Moir'e Video Authentication: A Physical Signature Against AI Video Generation2 Apr 2026
- 2026Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection2 Feb 2026
- 2025Dataset of News Articles with Provenance Metadata for Media Relevance Assessment11 Jun 2025
- 2025XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark31 May 2025
- 2025MAVOS-DD: Multilingual Audio-Video Open-Set Deepfake Detection Benchmark16 May 2025
- 2025ExDDV: A New Dataset for Explainable Deepfake Detection in Video18 Mar 2025
- 2024Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection12 Dec 2024