Deepfake Generation, Detection, and Use Cases: A Review Paper
Keywords:deepfake, deepfake detection, GAN, deepfake uses, social psychology
AbstractAs artificial intelligence (AI) becomes increasingly developed, technologies such as deepfake is becoming more advanced and widely used. Deepfake is a synthetic media creation process in which certain features of an existing image or video are replaced by the features of someone or something else. Generative Adversarial Networks (GAN) is generally considered to be the most effective method in creating deepfake media. Deepfake is useful in various fields, such as politics, translation, education, and entertainment. This paper reviews the generation, detection, and use cases of deepfake.
How to Cite
Lin, Y., & Parvataneni, K. (2021). Deepfake Generation, Detection, and Use Cases: A Review Paper. International Journal of Computational and Biological Intelligent Systems, 3(2). Retrieved from https://ijcbis.org/index.php/ijcbis/article/view/1642