2 papers
cs.CV2026
Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture
Chenqi Kong, Anwei Luo, Peijun Bao +5
Open-set face forgery detection poses significant security threats and presents substantial challenges for existing detection models. These detectors primarily have two limitations…
cs.CV2025
Active Adversarial Noise Suppression for Image Forgery Localization
Rongxuan Peng, Shunquan Tan, Xianbo Mo +2
Recent advances in deep learning have significantly propelled the development of image forgery localization. However, existing models remain highly vulnerable to adversarial attack…