%Aigaion2 BibTeX export from Idiap Publications
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         author = {Melzi, Pietro and Otroshi Shahreza, Hatef and Rathgeb, Christian and Tolosana, Ruben and Vera-Rodriguez, Ruben and Fierrez, Julian and Marcel, S{\'{e}}bastien and Busch, Christoph},
       projects = {TRESPASS-ETN},
          month = jan,
          title = {Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings},
      booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
           year = {2023},
            url = {https://openaccess.thecvf.com/content/WACV2023W/DVPBA/html/Melzi_Multi-IVE_Privacy_Enhancement_of_Multiple_Soft-Biometrics_in_Face_Embeddings_WACVW_2023_paper.html},
       abstract = {This study focuses on the protection of soft-biometric attributes related to the demographic information of individuals that can be extracted from compact representations of face images, called embeddings. We consider a state-of-the-art technology for soft-biometric privacy enhancement, Incremental Variable Elimination (IVE), and propose Multi-IVE, a new method based on IVE to secure multiple soft-biometric attributes simultaneously. Several aspects of this technology are investigated, proposing different approaches to effectively identify and discard multiple soft-biometric attributes contained in face embeddings. In particular, we consider a domain transformation using Principle Component Analysis (PCA), and apply IVE in the PCA domain. A complete analysis of the proposed Multi-IVE algorithm is carried out studying the embeddings generated by state-of-the-art face feature extractors, predicting soft-biometric attributes contained within them with multiple machine learning classifiers, and providing a cross-database evaluation. The results obtained show the possibility to simultaneously secure multiple soft-biometric attributes and support the application of embedding domain transformations before addressing the enhancement of soft-biometric privacy.},
            pdf = {https://publications.idiap.ch/attachments/papers/2023/Melzi_WACVW_2023.pdf}