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Deepfake: definitions, performance metrics and standards, datasets, and a meta-review

40
Citations
September 4, 2024
Published Date

Research Abstract & Technology Focus

Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of the new term “deepfake.” Based on both the research literature and resources in English, this paper gives a comprehensive overview of deepfake, covering multiple important aspects of this emerging concept, including (1) different definitions, (2) commonly used performance metrics and standards, and (3) deepfake-related datasets. In addition, the paper also reports a meta-review of 15 selected deepfake-related survey papers published since 2020, focusing not only on the mentioned aspects but also on the analysis of key challenges and recommendations. We believe that this paper is the most comprehensive review of deepfake in terms of the aspects covered.
deepfake definitions performance metrics standards datasets
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Correlated Market Trend: Academic Performance

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Frequently Asked Questions (FAQ)

Curated market intelligence mapped to this research.

What is the core focus of the research titled 'Deepfake: definitions, performance metrics and standards, datasets, and a meta-review'?

This literature focuses on: Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of...

Are there open-source GitHub repositories related to Deepfake: definitions, performance metrics and standards, datasets, and a meta-review?

Yes, open-source projects like mattmireles/gemma-tuner-multimodal (Fine-tune Gemma 4 and 3n with audio, images and text on Apple Silicon, using PyTorch and Metal Performance Shaders.) are actively building upon these concepts.

Which startups are commercializing the technology behind Deepfake: definitions, performance metrics and standards, datasets, and a meta-review?

Products like Pixel are bringing this to market. Their focus is: Scale performance ads without juggling 7 ad platforms.

Are there commercial applications of 'Deepfake: definitions, performance metrics and standards, datasets, and a meta-review' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'Deepfake X-rays are so real even doctors can’t tell the difference' discusses this: Deepfake X-rays created by AI are now convincing enough to fool both doctors and AI models. In tests, radiologists had limited success identifying ...

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