7 papers
CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection
Haoyuan Zhang, Xiangyu Zhu, Li Gao +3
Presentation Attack Detection (PAD) serves as a crucial safeguard for face recognition systems against presentation attacks such as printed photos, replayed videos, and 3D masks. D…
DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization
Siran Peng, Haoyuan Zhang, Li Gao +5
The rapid evolution of deepfake technologies demands robust and reliable face forgery detection algorithms. While determining whether an image has been manipulated remains essentia…
DevFD: Developmental Face Forgery Detection by Learning Shared and Orthogonal LoRA Subspaces
Tianshuo Zhang, Li Gao, Siran Peng +2
The rise of realistic digital face generation and manipulation poses significant social risks. The primary challenge lies in the rapid and diverse evolution of generation technique…
WMamba: Wavelet-based Mamba for Face Forgery Detection
Siran Peng, Tianshuo Zhang, Li Gao +4
The rapid evolution of deepfake generation technologies necessitates the development of robust face forgery detection algorithms. Recent studies have demonstrated that wavelet anal…
Spoof Trace Discovery for Deep Learning Based Explainable Face Anti-Spoofing
Haoyuan Zhang, Xiangyu Zhu, Li Gao +4
With the rapid growth usage of face recognition in people's daily life, face anti-spoofing becomes increasingly important to avoid malicious attacks. Recent face anti-spoofing mode…
Unifying Locality of KANs and Feature Drift Compensation Projection for Data-free Replay based Continual Face Forgery Detection
Tianshuo Zhang, Siran Peng, Li Gao +3
The rapid advancements in face forgery techniques necessitate that detectors continuously adapt to new forgery methods, thus situating face forgery detection within a continual lea…