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Evaluating the Effectiveness of Automated Identity Masking (AIM) Methods with Human Perception., , , , , , and . CoRR, (2019)Fusing Individual Algorithms and Humans Improves Face Recognition Accuracy., , , and . ISVC (2), volume 4292 of Lecture Notes in Computer Science, page 447-456. Springer, (2006)3-540-48628-3.Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?, , , and . CoRR, (2019)Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined., , , , , and . CoRR, (2020)Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 29 (9): 1642-1646 (2007)Identity masking effectiveness and gesture recognition: Effects of eye enhancement in seeing through the mask., , and . CoRR, (2023)Face Identification Proficiency Test Designed Using Item Response Theory., , , , , , , and . CoRR, (2021)Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models., , , , and . CoRR, (2023)The Influence of the Other-Race Effect on Susceptibility to Face Morphing Attacks., , , , and . CoRR, (2022)Twin Identification over Viewpoint Change: A Deep Convolutional Neural Network Surpasses Humans., , , , , , and . ACM Trans. Appl. Percept., 20 (3): 10:1-10:15 (July 2023)