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Performance of fingerprint quality measures depending on sensor technology., , , , , and . J. Electronic Imaging, 17 (1): 011008 (2008)Variable-length template protection based on homomorphic encryption with application to signature biometrics., , and . IWBF, page 1-6. IEEE, (2016)Mobile signature verification: feature robustness and performance comparison., , , and . IET Biom., 3 (4): 267-277 (2014)mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimation., , , and . ICMI Companion, page 32-36. ACM, (2020)Are Adaptive Face Recognition Systems still Necessary? Experiments on the APE Dataset., , , and . IPAS, page 77-82. IEEE, (2020)Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics., , , , , and . SafeAI@AAAI, volume 2560 of CEUR Workshop Proceedings, page 146-152. CEUR-WS.org, (2020)IFBiD: Inference-Free Bias Detection., , , , and . SafeAI@AAAI, volume 3087 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)MobileTouchDB: Mobile Touch Character Database in the Wild and Biometric Benchmark., , , , and . CVPR Workshops, page 2306-2314. Computer Vision Foundation / IEEE, (2019)Sensitive loss: Improving accuracy and fairness of face representations with discrimination-aware deep learning., , , and . Artif. Intell., (2022)Symbolic AI for XAI: Evaluating LFIT Inductive Programming for Explaining Biases in Machine Learning., , , , , , and . Comput., 10 (11): 154 (2021)