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Deepfake: An Overview

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Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 203))

Abstract

Recent advancements in digital technologies have significantly increased the quality and capability to produce realistic images and videos using highly advanced computer graphics and AI algorithms due to which it becomes difficult to distinguish between the real media and fake media. These computer-generated images or videos have useful applications in real life; however, these can also lead to various threats related to privacy and security. Deepfake is one of the ways which can lead to these threats. Term “Deepfake” is combination of two terms “deep learning” and “fake." Using deepfake, anyone can replace or mask someone else face on another person's face in an image or a video. Not only this, deepfake can change the original voice and facial expressions also in an image or a video. Nowadays, deepfake uses techniques like deep learning and AI to replace the original face, voice, or expressions. It is very hard for a human to detect that the content has been manipulated by deepfake techniques. This paper has attempted to introduce this concept of deepfake and has also discussed different types of deepfakes. The paper has also discussed methods to create and detect deepfake. The motivation behind this paper is to make the society aware about the deepfake tricks along with the treats offered by it.

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Authors and Affiliations

  1. MRIIRS, Faridabad, Haryana, India

    Anupama Chadha, Vaibhav Kumar, Sonu Kashyap & Mayank Gupta

Authors
  1. Anupama Chadha
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  2. Vaibhav Kumar
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  3. Sonu Kashyap
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  4. Mayank Gupta
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Corresponding author

Correspondence to Anupama Chadha .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India

    Pradeep Kumar Singh

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Sławomir T. Wierzchoń

  3. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  4. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Maria Ganzha

  5. Instituto de Telecomunicações, Federal University of Piauí (UFPI), Teresina, Piauí, Brazil

    Joel J. P. C. Rodrigues

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Chadha, A., Kumar, V., Kashyap, S., Gupta, M. (2021). Deepfake: An Overview. In: Singh, P.K., Wierzchoń, S.T., Tanwar, S., Ganzha, M., Rodrigues, J.J.P.C. (eds) Proceedings of Second International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-0733-2_39

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  • DOI: https://doi.org/10.1007/978-981-16-0733-2_39

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  • Print ISBN: 978-981-16-0732-5

  • Online ISBN: 978-981-16-0733-2

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