  A deepfake is a photo or video of a person whose image has been digitally
altered or partially replaced with an image of someone else. Deepfakes have the
potential to cause a variety of problems and are often used maliciously. A
common usage is altering videos of prominent political figures and celebrities.
These deepfakes can portray them making offensive, problematic, and/or untrue
statements. Current deepfakes can be very realistic, and when used in this way,
can spread panic and even influence elections and political opinions. There are
many deepfake detection strategies currently in use but finding the most
comprehensive and universal method is critical. So, in this survey we will
address the problems of malicious deepfake creation and the lack of universal
deepfake detection methods. Our objective is to survey and analyze a variety of
current methods and advances in the field of deepfake detection.
