How visual embeddings leak identity and how to fix it
CVPR 2026 paper overview with research scientist Daniel George, a coauthor of “From Measurement to Mitigation: Quantifying and Reducing Identity Leakage in Image Representation Encoders with Linear Subspace Removal." He discusses some of Persona’s recent research efforts, embeddings, and the paper’s focus. The paper was accepted to the Conference on Computer Vision and Pattern Recognition (CVPR) 2026, a premier conference in computer vision and machine learning.