Surveying face liveness detection in the deepfake era
Luo, Licheng
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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
Language
eng
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.
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