Concepedia

Concept

deepfake detection

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850

Publications

60.2K

Citations

2.8K

Authors

888

Institutions

About

Deepfake detection is a field of research and a set of technical methodologies focused on identifying digitally manipulated media, such as videos, audio recordings, and images, generated using artificial intelligence techniques, particularly deep learning. It investigates subtle inconsistencies, artifacts, or anomalies introduced during the synthetic media generation process, employing computational techniques from machine learning, computer vision, and audio analysis to distinguish authentic content from fabricated material. Its significance lies in safeguarding information integrity, combating the spread of disinformation, and mitigating the potential societal harms associated with increasingly realistic synthetic media.

Top Authors

Rankings shown are based on concept H-Index.

SL

University at Albany, State University of New York

FJ

Nanyang Technological University

YL

Nanyang Technological University

YL

University at Albany, State University of New York

NY

University of Science and Technology of China

Top Institutions

Rankings shown are based on concept H-Index.

Sun Yat-sen University

Guangzhou, China