5 papers
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…
Improving Low-Resolution Face Recognition under Limited Data: How Synthetic Data Generation Can Close the Domain Gap
Luis S. Luevano, Ünsal Öztürk, Hatef Otroshi Shahreza +2
Face Recognition (FR) systems in surveillance settings often encounter Low Resolution (LR) faces, those whose face region falls below the standard 112 112 input size. Whil…
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…
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…
Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification
Ünsal Öztürk, Hatef Otroshi Shahreza, Sébastien Marcel
Multimodal Large Language Models (MLLMs) have recently been explored as face verification systems that determine whether two face images are of the same person. Unlike dedicated fa…