Beyond the prior forgery knowledge: Mining critical clues for general face forgery detection
Face forgery detection is essential in combating malicious digital face attacks. Previous
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
IEIRNet: Inconsistency Exploiting Based Identity Rectification for Face Forgery Detection
Face forgery detection has attracted much attention due to the ever-increasing social
concerns caused by facial manipulation techniques. Recently, identity-based detection …
concerns caused by facial manipulation techniques. Recently, identity-based detection …
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
Open-set face forgery detection poses significant security threats and presents substantial
challenges for existing detection models. These detectors primarily have two limitations: they …
challenges for existing detection models. These detectors primarily have two limitations: they …
Boosting Deepfake Feature Extractors Using Unsupervised Domain Adaptation
J Li, Y Hu, B Liu, Z Gong, X Kang - IEEE Signal Processing …, 2024 - ieeexplore.ieee.org
To make deepfake detectors generalizable to different target domains, one effective way is
to let the source domain for training be similar to the target domain for detection. This letter …
to let the source domain for training be similar to the target domain for detection. This letter …
State-of-the-art AI-based Learning Approaches for Deepfake Generation and Detection, Analyzing Opportunities, Threading through Pros, Cons, and Future Prospects
The rapid advancement of deepfake technologies, specifically designed to create incredibly
lifelike facial imagery and video content, has ignited a remarkable level of interest and …
lifelike facial imagery and video content, has ignited a remarkable level of interest and …