Ya-Ning Zhang

FairForensics: Seeing Expressions and Parsing Demographics via Vision-Language Modeling for Generalizable Fair Deepfake Detection

A novel demographically balanced FDD benchmark is constructed to train and evaluate the fairness of detectors under both balanced and imbalanced population scenarios, and a novel expression and demographic perceptual vision-language model is introduced, termed FairForensics, for generalizable fair deepfake detection.