mlsanityData to 14 Oct 2026

Deepfake in the Metaverse: Security Implications for Virtual Gaming, Meetings, and Offices

arXiv 2303.14612 ↗First posted 26 Mar 2023cs.CR cs.LGcited by 8

Not on the map. Why?

Abstract (arXiv)

The metaverse has gained significant attention from various industries due to its potential to create a fully immersive and interactive virtual world. However, the integration of deepfakes in the metaverse brings serious security implications, particularly with regard to impersonation. This paper examines the security implications of deepfakes in the metaverse, specifically in the context of gaming, online meetings, and virtual offices. The paper discusses how deepfakes can be used to impersonate in gaming scenarios, how online meetings in the metaverse open the door for impersonation, and how virtual offices in the metaverse lack physical authentication, making it easier for attackers to impersonate someone. The implications of these security concerns are discussed in relation to the confidentiality, integrity, and availability (CIA) triad. The paper further explores related issues such as the darkverse, and digital cloning, as well as regulatory and privacy concerns associated with addressing security threats in the virtual world.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 10 of its 28 references that are in the map. First posted on arXiv 26 Mar 2023.

Builds on

10 of 28 references.

References · 10

  1. 2020The Creation and Detection of Deepfakes: A Surveycited by 247
  2. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 181
  3. 2022A Survey on Metaverse: Fundamentals, Security, and Privacycited by 51
  4. 2021FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learningcited by 44
  5. 2021CoReD: Generalizing Fake Media Detection with Continual Representation using Distillationcited by 37
  6. 2021One Detector to Rule Them All: Towards a General Deepfake Attack Detection Frameworkcited by 33
  7. 2021Evaluation of an Audio-Video Multimodal Deepfake Dataset using Unimodal and Multimodal Detectorscited by 32
  8. 2020A Convolutional LSTM based Residual Network for Deepfake Video Detectioncited by 26
  9. 2021TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learningcited by 19
  10. 2021Am I a Real or Fake Celebrity? Measuring Commercial Face Recognition Web APIs under Deepfake Impersonation Attackcited by 12

Built on by

Cited by year

Citing papers per year: 2024: 3; 2025: 5.

8 papers.