University of Illinois Urbana-Champaign

Surveying face liveness detection in the deepfake era

Luo, Licheng

Content Files
LUO-THESIS-2022.pdf

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https://hdl.handle.net/2142/115594

Description

Title
Surveying face liveness detection in the deepfake era
Author(s)
Luo, Licheng
Issue Date
2022-04-26
Director of Research (if dissertation) or Advisor (if thesis)
Wang, Gang
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Biometrics
  • Liveness Detection
  • Spoofing
  • Face Liveness Detection
  • DeepFake Generation
  • DeepFake Detection
  • Face
  • DeepFakes
Abstract
Face authentication systems are used more and more in different applications. However, their security relies on the face liveness detection method they use. With the advent of deepfake technologies that make modifications like face swapping easier than ever, there is an urgent need to understand what threats deepfakes pose to liveness detection and explore how to mitigate those threats. In this thesis, I first survey existing methods for face liveness detection. Then I will survey deepfake technologies in terms of its generation and detection methods to provide a comprehensive overview, with a particular focus on the technologies that could be used for practical attacks against liveness detection. I discuss the implications and conduct a case study on a commercial face liveness detection system to show how one can make such systems secure in practice. Finally, I would conclude with open research directions for future work.
Graduation Semester
2022-05
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/115594
Copyright and License Information
Copyright 2022 Licheng Luo

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