DEEPFAKE CONTENT TYPES AND THEIR GENERATION METHODS

Авторы

  • Normo‘minov Anvarjon Senior lecturer, Computer engineering, Tashkent University of Applied Sciences Автор
  • Primbetov Abbaz Phd student, Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi Автор

DOI:

https://doi.org/10.65164/7jsgx834

Ключевые слова:

Deepfake, Artificial Intelligence, Identity Swapping, Expression Manipulation, Facial Attribute Editing, TTS, Image/Video Synthesis

Аннотация

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 

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Al-Farg’oniy avlodlari 1.2 (2025): 87-94.

Опубликован

2025-12-29