• An Attack on Facial Soft-Biometric Privacy Enhancement 

      Osorio-Roig, Daile; Rathgeb, Christian; Drozdowski, Pawel; Terhorst, Philipp; Struc, Vitomir; Busch, Christoph (Peer reviewed; Journal article, 2022)
      In the recent past, different researchers have proposed privacy-enhancing face recognition systems designed to conceal soft-biometric attributes at feature level. These works have reported impressive results, but generally ...
    • MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN 

      Zhang, Haoyu; Venkatesh, Sushma; Ramachandra, Raghavendra; Raja, Kiran; Damer, Naser; Busch, Christoph (Journal article; Peer reviewed, 2021)
      Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against ...
    • On the Relation Between ROC and CMC 

      Veldhuis, Raymond Nicolaas Johan; Raja, Kiran (Journal article; Peer reviewed, 2023)
      We formulate a compact relation between the probabilistic Receiver Operating Characteristic (ROC) and the probabilistic Cumulative Match Characteristic (CMC) that predicts every entry of the probabilistic CMC as a functional ...
    • Pixel-Level Face Image Quality Assessment for Explainable Face Recognition 

      Terhorst, Philipp; Huber, Marco; Damer, Naser; Kirchbuchner, Florian; Raja, Kiran; Kuijper, Arjan (Peer reviewed; Journal article, 2023)
      In this work, we introduce the concept of pixel-level gface image quality that determines the utility of single pixels in a face image for recognition. We propose a training-free approach to assess the pixel-level qualities ...