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 survey paper explores the implications of deepfake technology within the metaverse, examining its potential applications and the associated security and privacy risks. It proposes countermeasures and offers a future outlook on the intersection of deepfakes and the metaverse.

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 highlights the potential for deepfakes to enhance metaverse experiences but also emphasizes significant security and privacy risks, including identity theft, fraud, and disinformation. It underscores the need for robust countermeasures, such as multimodal authentication and enhanced data protection, to mitigate these risks.

Approach

The paper provides a survey of existing literature on deepfakes and the metaverse, analyzing the potential applications of deepfakes in creating virtual content and experiences. It also discusses the security and privacy risks associated with deepfakes in the metaverse and proposes countermeasures such as multimodal authentication and enhanced data security.

Datasets

UNKNOWN

Model(s)

UNKNOWN

Author countries

China

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