A Review on Deepfake Attack Detection of User
Prachi Chhajed · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: The Deepfake attacks are common these days. It is hard to detect the faces of users are real or fake. Deepfake is mainly used in different fields as having positive points regarding virtual presence of any user but this also has drawback which leads to misuse of the replacing the user’s facial data with someone else facial data. These changing of user’s original identity to fake identity is done by the deepfake attackers who replace its own identity or human imposters to hide the originality of the user. These attacked images or videos need to be detected. There are various face detectors among which few detect the real or fake deepfake images or videos. There is procedure also which used for authentication purpose such as visual speaker authentication. Also, convolutional neural network is used for facial feature extraction purpose and recurrent neural network is used for detecting the video is manipulated or not