Vec2Null: Structured Identity Vectorization and Nulling for One-Shot Face Unlearning

Summary

Vec2Null is a geometry-guided framework for one-shot personal identity unlearning on face-analytics models, where a user supplies a single new face image to request erasure. It first maps the image to a stable identity-level direction through UnoFace, a representation network trained with an asymmetric One-Shot Proxy objective, then applies a projection-based nulling update that steers changes away from retain-sensitive subspaces. The authors report state-of-the-art one-shot face unlearning results across multiple benchmarks, with code promised at github.com/CV-AC/Vec2Null.