Robust, Generalizable Proactive Face-swapping Defense via Semantic Gradient Divergence
This work proposes a robust, generalizable proactive face-swapping defense via semantic gradient divergence (SGD-Guard), and introduces an integrated feature gallery that uses CLIP features and a generalized identity feature, obtained by iteratively refining heterogeneous identity features into a homogeneous representa...