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cs.CV2026
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…
cs.CV2025
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…
cs.CV2025
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…