mlsanityData to 14 Oct 2026

Deep Insights of Deepfake Technology : A Review

arXiv 2105.00192 ↗First posted 1 May 2021cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

Under the aegis of computer vision and deep learning technology, a new emerging techniques has introduced that anyone can make highly realistic but fake videos, images even can manipulates the voices. This technology is widely known as Deepfake Technology. Although it seems interesting techniques to make fake videos or image of something or some individuals but it could spread as misinformation via internet. Deepfake contents could be dangerous for individuals as well as for our communities, organizations, countries religions etc. As Deepfake content creation involve a high level expertise with combination of several algorithms of deep learning, it seems almost real and genuine and difficult to differentiate. In this paper, a wide range of articles have been examined to understand Deepfake technology more extensively. We have examined several articles to find some insights such as what is Deepfake, who are responsible for this, is there any benefits of Deepfake and what are the challenges of this technology. We have also examined several creation and detection techniques. Our study revealed that although Deepfake is a threat to our societies, proper measures and strict regulations could prevent this.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 22 of its 94 references that are in the map. First posted on arXiv 1 May 2021.

Builds on

22 of 94 references.

References · 22

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10 more
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Cited by year

Citing papers per year: 2023: 1; 2024: 1.

2 papers.

  1. 2024Large Language Model Safety: A Holistic Surveycited by 59
  2. 2023Leveraging Deep Learning Approaches for Deepfake Detection: A Reviewcited by 2