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: | Khan, Muhammad Riyyan (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!
|
Similar Items
-
Generation and Detection of Sign Language Deepfakes
by: Naeem, Shahzeb
Published: (2024) -
Deepfakes Signatures Detection in the Handcrafted Features Space
by: Hamadene, Assia
Published: (2023) -
Audio-deepfake detection: Adversarial attacks and countermeasures
by: Mouna Rabhi (17086969)
Published: (2024) -
The realness of fakes: Primary evidence of the effect of deepfake personas on user perceptions in a design task
by: Ilkka Kaate (19450366)
Published: (2023) -
Evaluation of Pre-Trained CNN Models for Geographic Fake Image Detection
by: Hadid, Abdenour
Published: (2022)