Abstract:

The very effective use of technology and social media with artificial intelligence has facilitated the creation and sharing of profound fake videos. Because deep false detection is still a problem that is not completely solved, social media companies like Facebook, Microsoft, AWS and AI are supporting research and the solutions suggested on different platforms are offered as open source. Since detection methods are used to heal themselves in deep fake creation methods, the dispute between the creation and detection is like it will never end. This will always require a new method of detection. This study has studied the methods used in detection of profound fake videos. Effect analysis of the application has been done. List and characteristics of data sets with different features and detection applications with different methods are given in tables. Applications are presented as a source to researchers by comparing, evaluating challenges and trends.

Keywords: