2 citations · 2 across the 3 of their papers we have counts for
3 papers
Deep Variational Privacy Funnel: General Modeling with Applications in Face Recognition
Behrooz Razeghi, Parsa Rahimi, Sébastien Marcel
In this study, we harness the information-theoretic Privacy Funnel (PF) model to develop a method for privacy-preserving representation learning using an end-to-end training framew…
FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data
Pietro Melzi, Ruben Tolosana, Ruben Vera-Rodriguez +44
Despite the widespread adoption of face recognition technology around the world, and its remarkable performance on current benchmarks, there are still several challenges that must…
Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups
Parsa Rahimi, Christophe Ecabert, Sebastien Marcel
Recently, it has been exposed that some modern facial recognition systems could discriminate specific demographic groups and may lead to unfair attention with respect to various fa…