@Article{jcs.2020.014310,
AUTHOR = {Xingwang Ju},
TITLE = {An Overview of Face Manipulation Detection},
JOURNAL = {Journal of Cyber Security},
VOLUME = {2},
YEAR = {2020},
NUMBER = {4},
PAGES = {197--207},
URL = {http://www.techscience.com/JCS/v2n4/40717},
ISSN = {2579-0064},
ABSTRACT = {Due to the power of editing tools, new types of fake faces are being 
created and synthesized, which has attracted great attention on social media. It is 
reasonable to acknowledge that one human cannot distinguish whether the face is 
manipulated from the real faces. Therefore, the detection of face manipulation 
becomes a critical issue in digital media forensics. This paper provides an 
overview of recent deep learning detection models for face manipulation. Some 
public dataset used for face manipulation detection is introduced. On this basis, 
the challenges for the research and the potential future directions are analyzed 
and discussed.},
DOI = {10.32604/jcs.2020.014310}
}