Deepfake in the Metaverse: An Outlook Survey

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Authors: Haojie Wu, Pan Hui, Pengyuan Zhou

Published: 2023-06-12 10:31:00+00:00

AI Summary

This paper provides a comprehensive survey on deepfake technologies in the context of the metaverse, exploring their potential to enhance user immersion while simultaneously presenting significant risks. It introduces the principles, applications, and security challenges of deepfakes within the metaverse, proposing countermeasures and outlining future development directions. The work highlights the critical need for robust identity verification and data security to manage the complex impacts of deepfakes in this evolving digital environment.

Abstract

We envision deepfake technologies, which synthesize realistic fake images and videos, will play an important role in the future metaverse. While enhancing users' immersion and experience with synthesized virtual characters and scenes, deepfake can cause serious consequences if used for fraud, impersonation, and dissemination of fake information. In this paper, we introduce the principles, applications, and risks of deepfake technology, and propose some countermeasures to help users and developers in the metaverse deal with the challenges brought by deepfake technologies. Further, we provide an outlook on the future development of deepfake in the metaverse.

Key findings
The paper identifies deepfake technologies as having a dual role in the metaverse, enhancing immersion but also posing severe security and privacy threats like identity theft and fraud. It emphasizes the critical need for robust multimodal authentication, enhanced data security protection, and strengthened regulatory mechanisms to address these challenges. The survey also forecasts the development of deepfake for complex multi-object scenes and the potential impact of large language models like ChatGPT on deepfake creation and detection.
Approach
The paper conducts a comprehensive survey by first introducing the fundamentals of deepfake and the metaverse. It then details deepfake technical implementations (2D vs. 3D) and application scenarios in the metaverse, followed by an analysis of potential security and privacy issues. Finally, it proposes countermeasures and provides an outlook on future developments.
Datasets
UNKNOWN
Model(s)
UNKNOWN
Author countries
China
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