Evading deepfake detectors via adversarial statistical consistency
In recent years, as various realistic face forgery techniques known as DeepFake improves by leaps and bounds, more and more DeepFake detection techniques have been proposed. These methods typically rely on detecting statistical differences between natural (i.e., real) and DeepFake-generated images i...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2023
|
| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/8230 https://ink.library.smu.edu.sg/context/sis_research/article/9233/viewcontent/evading_deepfake_detectors_va_adversarial_statistical_consistency.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Singapore Management University |
| Language: | English |