Combating Deepfakes

Authors

  • Bhagaban Paul Heritage Institute of Technology Author

DOI:

https://doi.org/10.64322/JLRP.2025.1102

Keywords:

Deepfake, Artificial Intelligence, GANs, Generation Tools, Detection Tools

Abstract

The spread of deepfake technology brings with it difficulties like threats to democratic integrity, privacy, and the detection of truth. Artificial intelligence, specifically deep learning and generative adversarial networks (GANs) is used in deepfakes to alter audio-visual content in a way that makes it hard to tell what is real and what is not. Creative advancements in communication and entertainment have been made possible by this advance technology, but it also creates opportunities for harmful applications like damaging reputation, identity theft, political disinformation, and deepfake consensual or non-consensual pornography. This article examines the creation and identification of deepfakes from a technological and legal perspective. It evaluates the effectiveness of detection tools in comparison to deepfake generation tools through a comparative analysis. The ethical obligations are analysed considering the legal ramifications, which include freedom of speech, digital consent, and privacy rights. To close the technological and legal gaps in confronting deepfakes, the article's conclusion calls for a multidisciplinary strategy that brings together engineers, legal professionals, and legislators.

Downloads

Download data is not yet available.

Author Biography

  • Bhagaban Paul, Heritage Institute of Technology

    B.Tech (CSE)

References

1. Citron, D. K., & Chesney, R. (2019). The new disinformation war and deepfakes. Foreign Affairs, 98(1), 147–155.

2. Lee, W., & Mirsky, Y. (2021). A survey on the production and identification of deepfakes. ACM Computing Surveys, 54(1), 1–41. https://doi.org/10.1145/3425780

3. McCarthy, I. P., Kietzmann, T. C., Lee, L., & Kietzmann, J. (2020). Deepfakes: Is it a trick or a treat? Business Horizons, 63(2), 135–146. https://doi.org/10.1016/j.bushor.2019.11.006

4. Vera-Rodriguez, R., Tolosana, R., Fierrez, J., Morales, A., & Ortega-Garcia, J. (2020). A review of face manipulation and fake detection in the context of deepfakes and beyond. Information Fusion, 64, 131–148. https://doi.org/10.1016/j.inffus.2020.07.007

Downloads

Published

2025-06-29

How to Cite

1.
Paul B. Combating Deepfakes. jlrp [Internet]. 2025 Jun. 29 [cited 2025 Jul. 16];1(1):1-11. Available from: https://www.jlrp.in/index.php/jlrp/article/view/17

Share