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Adversarial Detection of Counterfeited Printable Graphical Codes: Towards Ädversarial Games" In Physical World., , , and . ICASSP, page 2812-2816. IEEE, (2020)Stochastic Digital Twin for Copy Detection Patterns., , , and . WIFS, page 1-6. IEEE, (2023)Defending Against Adversarial Attacks by Randomized Diversification., , , and . CVPR, page 11226-11233. Computer Vision Foundation / IEEE, (2019)Reconstruction of Privacy-Sensitive Data from Protected Templates., , , , and . ICIP, page 1163-1167. IEEE, (2019)Variational Information Bottleneck for Semi-Supervised Classification., , , , and . Entropy, 22 (9): 943 (2020)Reliable classification in digital and physical worlds under active adversaries and prior ambiguity.. University of Geneva, Switzerland, (2021)base-search.net (ftunivgeneve:oai:unige.ch:aou:unige:152982).Authentication Of Copy Detection Patterns Under Machine Learning Attacks: A Supervised Approach., , , , , , and . ICIP, page 1296-1300. IEEE, (2022)Digital twins of physical printing-imaging channel., , , , , , and . WIFS, page 1-6. IEEE, (2022)Robustification of Deep Net Classifiers by Key Based Diversified Aggregation with Pre-Filtering., , , and . ICIP, page 2294-2298. IEEE, (2019)Clonability of Anti-counterfeiting Printable Graphical Codes: A Machine Learning Approach., , and . ICASSP, page 2482-2486. IEEE, (2019)