4 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…
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
Li Lun, Kunyu Feng, Qinglong Ni +5
Spiking neural networks (SNNs) have shown their competence in handling spatial-temporal event-based data with low energy consumption. Similar to conventional artificial neural netw…
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…