4 papers
Decoupling Bias, Aligning Distributions: Synergistic Fairness Optimization for Deepfake Detection
Feng Ding, Wenhui Yi, Yunpeng Zhou +3
Fairness is a core element in the trustworthy deployment of deepfake detection models, especially in the field of digital identity security. Biases in detection models toward diffe…
Preserving Fairness Generalization in Deepfake Detection
Li Lin, Xinan He, Yan Ju +3
Although effective deepfake detection models have been developed in recent years, recent studies have revealed that these models can result in unfair performance disparities among…
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin, Neeraj Gupta, Yue Zhang +7
The rapid advancement of Large AI Models (LAIMs), particularly diffusion models and large language models, has marked a new era where AI-generated multimedia is increasingly integr…
Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality
Bing Fan, Shu Hu, Feng Ding
DeepFake, an AI technology for creating facial forgeries, has garnered global attention. Amid such circumstances, forensics researchers focus on developing defensive algorithms to…