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cs.CV2026
Damnatio Memoriae: Adversarially and Selectively Forgetting Identities in the Embedding Space of Face Recognition Models
Ünsal Öztürk, Vedrana Krivokuća Hahn, Sushil Bhattacharjee +1
A face recognition model links two images of a person recorded on separate occasions when their embedding similarity exceeds an operating threshold. We consider making chosen ident…
cs.CV2026
Quantifying Training Membership Information in the Hyperspherical Embedding Geometry of Face Recognition Models
Ünsal Öztürk, Sébastien Marcel
Face recognition models represent each face as an embedding vector on the unit hypersphere by clustering embeddings of the same identity while pushing different identities apart th…
cs.CV2026
Variational Latent Entropy Estimation Disentanglement: Controlled Attribute Leakage for Face Recognition
Ünsal Öztürk, Vedrana Krivokuća Hahn, Sushil Bhattacharjee +1
Face recognition embeddings encode identity, but they also encode other factors such as gender and ethnicity. Depending on how these factors are used by a downstream system, separa…