mlsanityData to 7 Oct 2026

Preliminary Forensics Analysis of DeepFake Images

arXiv 2004.12626 ↗First posted 27 Apr 2020cs.CV eess.IVcited by 12

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Abstract (arXiv)

One of the most terrifying phenomenon nowadays is the DeepFake: the possibility to automatically replace a person's face in images and videos by exploiting algorithms based on deep learning. This paper will present a brief overview of technologies able to produce DeepFake images of faces. A forensics analysis of those images with standard methods will be presented: not surprisingly state of the art techniques are not completely able to detect the fakeness. To solve this, a preliminary idea on how to fight DeepFake images of faces will be presented by analysing anomalies in the frequency domain.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Apr 2020.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 2; 2024: 6.

12 papers.