Detecting Deepfakes with Haralick&amp;#x2019;s Texture Properties

Frick, Raphael Antonius; Zmudzinski, Sascha; Steinebach, Martin

doi:10.2352/issn.2470-1173.2021.4.mwsf-271

Cited by 6 publications

(3 citation statements)

References 18 publications

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“…[ 14 ] propose a novel method of detecting deepfakes based on Haralick's tex-ture properties. Specifically, the authors try to find anomalies in the properties of greyscale values in manipulated images.…”

Section: Deepfakesmentioning

confidence: 99%

“…Contrastingly to other deepfake de-tection methods, the authors decided to forgo using deep learning to extract features from the images, as the inner workings of neural networks can often be a black box to human observers and do not provide an explanation as to how the network decided on which features to extract. This method did not reach the desired results, after which [ 14 ] decided to use deep learning anyway.…”

Section: Deepfakesmentioning

confidence: 99%

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Interpol review of forensic video analysis, 2019–2022

Geradts

Riphagen

2023

Forensic Science International: Synergy

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Section: Deepfakesmentioning

confidence: 99%

Section: Deepfakesmentioning

confidence: 99%

Interpol review of forensic video analysis, 2019–2022

Geradts

Riphagen

2023

Forensic Science International: Synergy

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“…According to Oded Vanunu, head of products vulnerability research at IT security vendor Check Point Software Technologies, the first significant deepfake attack occurred in 2019 [66]. This information comes from Vanunu [67]. Hackers successfully impersonated a phone request from a CEO, which led to a bank transfer of 243,000 dollars.…”

Section: • Pornography • Deepfake Attack Examplesmentioning

confidence: 99%

Deepfakes in Cyber Warfare: Threats, Detection, Techniques and Countermeasures

Cinar

2023

AJRCoS

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Technology known as deepfake (DT) has reached an entirely new level of complexity. Cybercriminals now have the ability to modify sounds, images, and videos in order to mislead individuals and businesses and spread false information. This constitutes a rising threat to international organizations as well as individuals, and it is imperative that something be done about it. This article presents an overview of deepfakes, discussing their usefulness to society as well as the operation of DT. This article focuses on the dangers that can be posed by deep fakes to the economic, political, and legal institutions of countries all over the world. In addition to this, the study will investigate various solutions to the problem of deepfakes, and it will finish by discussing potential directions for further research.

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Deepfakes: evolution and trends

et al. 2023

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This study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research questions: What are the main research areas of the articles in deepfakes? What are the main current topics in deepfakes research and how are they related? Which are the trends in deepfakes research? How do topics in deepfakes research change over time? Who is researching deepfakes? Who is funding deepfakes research? We have found a total of 331 research articles about deepfakes in an analysis carried out on the Web of Science and Scopus databases. This data serves to provide a complete overview of deepfakes. Main insights include: different areas in which deepfakes research is being performed; which areas are the emerging ones, those that are considered basic, and those that currently have the most potential for development; most studied topics on deepfakes research, including the different artificial intelligence methods applied; emerging and niche topics; relationships among the most prominent researchers; the countries where deepfakes research is performed; main funding institutions. This paper identifies the current trends and opportunities in deepfakes research for practitioners and researchers who want to get into this topic.

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Detecting Deepfakes with Haralick’s Texture Properties

Abstract: Fast track article for IS&T International Symposium on Electronic Imaging 2021: Media Watermarking, Security, and Forensics 2021 proceedings.

Cited by 6 publications

References 18 publications

Interpol review of forensic video analysis, 2019–2022

Interpol review of forensic video analysis, 2019–2022

Deepfakes in Cyber Warfare: Threats, Detection, Techniques and Countermeasures

Deepfakes: evolution and trends

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