| Title | Deepfake: A Survey on Facial Forgery Technique Using Generative Adversarial Network |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yadav, D., Salmani, S. |
| Conference Name | 2019 International Conference on Intelligent Computing and Control Systems (ICCS) |
| Keywords | AI technology, authentic people, authorisation, behavioural sciences computing, celebrities, character defamation, Deep Learning, DeepFake, Deepfake technique, election process, Face, face recognition, face video forgery technique, facial forgery technique, generative adversarial network, generative adversarial networks, Generators, high-profile politician, Human Behavior, human factors, machine learning, Metrics, Motion pictures, neural nets, Neural Network, Neural networks, pubcrawl, resilience, Resiliency, Scalability, social media platform, social networking (online), Training, unauthentic spurious video, video signal processing |
| Abstract | "Deepfake" it is an incipiently emerging face video forgery technique predicated on AI technology which is used for creating the fake video. It takes images and video as source and it coalesces these to make a new video using the generative adversarial network and the output is very convincing. This technique is utilized for generating the unauthentic spurious video and it is capable of making it possible to generate an unauthentic spurious video of authentic people verbally expressing and doing things that they never did by swapping the face of the person in the video. Deepfake can create disputes in countries by influencing their election process by defaming the character of the politician. This technique is now being used for character defamation of celebrities and high-profile politician just by swapping the face with someone else. If it is utilized in unethical ways, this could lead to a serious problem. Someone can use this technique for taking revenge from the person by swapping face in video and then posting it to a social media platform. In this paper, working of Deepfake technique along with how it can swap faces with maximum precision in the video has been presented. Further explained are the different ways through which we can identify if the video is generated by Deepfake and its advantages and drawback have been listed. |
| DOI | 10.1109/ICCS45141.2019.9065881 |
| Citation Key | yadav_deepfake_2019 |
Deepfake: A Survey on Facial Forgery Technique Using Generative Adversarial Network