Generative Artificial Intelligence and the Evolving Challenge of Deepfake Detection: A Systematic Analysis

• Published in: Journal of sensor and actuator networks Vol. 14; no. 1; p. 17
• Main Authors: Babaei, Reza, Cheng, Samuel, Duan, Rui, Zhao, Shangqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2025
• Subjects: Algorithms; Artificial intelligence; Automation; Deception; Deep learning; Deepfake; deepfake detection; Detectors; Diffusion models; digital forensics; False information; Generative adversarial networks; Generative artificial intelligence; Innovations; Literature reviews; Machine learning; media security; Neural networks; Real time; Realism; Social media; Technological change; United States; New Jersey; Germany

Deepfake technology, which employs advanced generative artificial intelligence to create hyper-realistic synthetic media, poses significant challenges across various sectors, including security, entertainment, and education. This literature review explores the evolution of deepfake generation method...