{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115594"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115594","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Surveying face liveness detection in the deepfake era","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","abstract_has_math":false,"creators":["Luo, Licheng"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":["Wang, Gang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:54Z","subjects":["Biometrics","Liveness Detection","Spoofing","Face Liveness Detection","DeepFake Generation","DeepFake Detection","Face","DeepFakes"],"languages":["en","eng"],"rights":["Copyright 2022 Licheng Luo"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115594","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Wang, Gang"]},{"key":"dc:creator","label":"Author","values":["Luo, Licheng"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-26"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Biometrics","Liveness Detection","Spoofing","Face Liveness Detection","DeepFake Generation","DeepFake Detection","Face","DeepFakes"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2022 Licheng Luo"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115594"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Licheng Luo, accepted the attached license on 2022-04-22 at 12:10.","The student, Licheng Luo, submitted this Thesis for approval on 2022-04-22 at 12:11.","This Thesis was approved for publication on 2022-04-26 at 15:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17872 on 2022-11-11 at 12:11:43","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Surveying face liveness detection in the deepfake era"]}]}],"canonical_facts":{"dc:contributor":["Wang, Gang"],"dc:creator":["Luo, Licheng"],"dc:date":["2022-05","2022-04-26"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-05-01","The student, Licheng Luo, accepted the attached license on 2022-04-22 at 12:10.","The student, Licheng Luo, submitted this Thesis for approval on 2022-04-22 at 12:11.","This Thesis was approved for publication on 2022-04-26 at 15:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17872 on 2022-11-11 at 12:11:43","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."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115594"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Licheng Luo"],"dc:subject":["Biometrics","Liveness Detection","Spoofing","Face Liveness Detection","DeepFake Generation","DeepFake Detection","Face","DeepFakes"],"dc:title":["Surveying face liveness detection in the deepfake era"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}