1 citations · 1 across the 6 of their papers we have counts for
6 papers
Unified Face Attack Detection via Fine-Grained Semantic Guidance
Ning Jiang, Shijie Yu, Dingheng Zeng +4
The growing applications of facial recognition systems are accompanied by increasingly diverse security threats. Existing datasets lack detailed textual descriptions of forgery cue…
Explainable Deepfake Detection with RL Enhanced Self-Blended Images
Ning Jiang, Dingheng Zeng, Yanhong Liu +5
Most prior deepfake detection methods lack explainable outputs. With the growing interest in multimodal large language models (MLLMs), researchers have started exploring their use…
Device-aware Optical Adversarial Attack for a Portable Projector-camera System
Ning Jiang, Yanhong Liu, Dingheng Zeng +3
Deep-learning-based face recognition (FR) systems are susceptible to adversarial examples in both digital and physical domains. Physical attacks present a greater threat to deploye…
Towards Interactive Deepfake Analysis
Lixiong Qin, Ning Jiang, Yang Zhang +4
Existing deepfake analysis methods are primarily based on discriminative models, which significantly limit their application scenarios. This paper aims to explore interactive deepf…
Unified Physical-Digital Face Attack Detection
Hao Fang, Ajian Liu, Haocheng Yuan +8
Face Recognition (FR) systems can suffer from physical (i.e., print photo) and digital (i.e., DeepFake) attacks. However, previous related work rarely considers both situations at…
R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning
Zhiling Ye, LiangGuo Zhang, Dingheng Zeng +2
Dynamic NeRFs have recently garnered growing attention for 3D talking portrait synthesis. Despite advances in rendering speed and visual quality, challenges persist in enhancing ef…