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Multimodal Anti-spoofing in Biometric Recognition Systems.

, , , , and . Handbook of Biometric Anti-Spoofing, Springer, (2014)

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Anti-spoofing, Multimodal., , and . Encyclopedia of Biometrics, Springer US, (2015)On Security and Sparsity of Linear Classifiers for Adversarial Settings., , , , and . CoRR, (2017)Analysis of error-reject trade-off in linearly combined multiple classifiers., and . Pattern Recognit., 37 (6): 1245-1265 (2004)A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread., , , , , , , , , and . IEEE Access, (2022)Multiple classifier systems for robust classifier design in adversarial environments., , and . Int. J. Mach. Learn. Cybern., 1 (1-4): 27-41 (2010)Robustness analysis of likelihood ratio score fusion rule for multimodal biometric systems under spoof attacks., , , and . ICCST, page 1-8. IEEE, (2011)On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models., , and . ICPR, page 1208-1214. IEEE, (2022)Deep neural rejection against adversarial examples., , , , , , and . EURASIP J. Inf. Secur., (2020)Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks., , , , and . MCS, volume 6713 of Lecture Notes in Computer Science, page 350-359. Springer, (2011)Diversity in Classifier Ensembles: Fertile Concept or Dead End?, , and . MCS, volume 7872 of Lecture Notes in Computer Science, page 37-48. Springer, (2013)