Article

DEEPFAKE CONTENT TYPES AND THEIR GENERATION METHODS

Sarvar MaxmudjanovAssociate professor of Tashkent University of Information Technologies named after Muhammad Al-KhwarizmiAbbaz PrimbetovPhd student, Tashkent University of Information Technologies named after Muhammad Al-KhwarizmiAhadjon NaimovPhd student, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi

Zenodo (CERN European Organization for Nuclear Research)repository2026en

ABI

Abstract

Deepfake technology, powered by artificial intelligence, enables the manipulation of media content in multiple ways, including identity swapping, facial expression alteration, attribute modification, background replacement, and realistic speech or image synthesis. These manipulations can create highly convincing yet artificial content, posing challenges for digital media authentication, forensic analysis, and cybersecurity. Understanding the various deepfake types and their generation techniques is essential for designing robust detection methods and improving the reliability of automated verification systems.

Topics

Digital Media Forensic Detection Generative Adversarial Networks and Image Synthesis Face recognition and analysis

Identifiers

DOI: 10.5281/zenodo.18708717

Citations and references

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