Deepfakes Recognition with Physiological Signals
A Master of Science thesis in Electrical Engineering by Muhammad Riyyan Khan entitled, “Deepfakes Recognition with Physiological Signals”, submitted in April 2024. Thesis advisor is Dr. Usman Tariq and thesis co-advisors are Dr. Hasan Al-Nashash and Dr. Abhinav Dhall. Soft copy is available (Thesis,...
Saved in:
| Main Author: | |
|---|---|
| Format: | doctoralThesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/25623 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513437175906304 |
|---|---|
| author | Khan, Muhammad Riyyan |
| author_facet | Khan, Muhammad Riyyan |
| author_role | author |
| dc.contributor.none.fl_str_mv | Tariq, Usman Al-Nashash, Hasan Dhall, Abhinav |
| dc.creator.none.fl_str_mv | Khan, Muhammad Riyyan |
| dc.date.none.fl_str_mv | 2024-09-25T07:30:54Z 2024-09-25T07:30:54Z 2024-04 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2024.31 https://hdl.handle.net/11073/25623 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Deepfake videos Deepfake detection methods Physiological Signals |
| dc.title.none.fl_str_mv | Deepfakes Recognition with Physiological Signals |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Electrical Engineering by Muhammad Riyyan Khan entitled, “Deepfakes Recognition with Physiological Signals”, submitted in April 2024. Thesis advisor is Dr. Usman Tariq and thesis co-advisors are Dr. Hasan Al-Nashash and Dr. Abhinav Dhall. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_3d2ff61b405945cd7c155b22fc7beaf9 |
| identifier_str_mv | 35.232-2024.31 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25623 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Deepfakes Recognition with Physiological SignalsKhan, Muhammad RiyyanDeepfake videosDeepfake detection methodsPhysiological SignalsA Master of Science thesis in Electrical Engineering by Muhammad Riyyan Khan entitled, “Deepfakes Recognition with Physiological Signals”, submitted in April 2024. Thesis advisor is Dr. Usman Tariq and thesis co-advisors are Dr. Hasan Al-Nashash and Dr. Abhinav Dhall. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Tariq, UsmanAl-Nashash, HasanDhall, Abhinav2024-09-25T07:30:54Z2024-09-25T07:30:54Z2024-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.31https://hdl.handle.net/11073/25623en_USoai:repository.aus.edu:11073/256232025-06-26T12:22:02Z |
| spellingShingle | Deepfakes Recognition with Physiological Signals Khan, Muhammad Riyyan Deepfake videos Deepfake detection methods Physiological Signals |
| status_str | publishedVersion |
| title | Deepfakes Recognition with Physiological Signals |
| title_full | Deepfakes Recognition with Physiological Signals |
| title_fullStr | Deepfakes Recognition with Physiological Signals |
| title_full_unstemmed | Deepfakes Recognition with Physiological Signals |
| title_short | Deepfakes Recognition with Physiological Signals |
| title_sort | Deepfakes Recognition with Physiological Signals |
| topic | Deepfake videos Deepfake detection methods Physiological Signals |
| url | https://hdl.handle.net/11073/25623 |