Libra: A One-Tool Solution for MLD4 Compliance
Beschreibung
Compared with earlier regulations, the 4th European Money Laundering Directive (MLD4) imposes rigorously increased requirements. It compels obliged entities to conduct in depth screenings of customers and their associations. The Libra Project aims at providing a one tool solution for meeting MLD4 compliance. The project will in particular offer a cloud based “Google-like” search experience to bring up reliable information on persons of interest and their surroundings.
Eckdaten
Projektleitung
Projektteam
Lukas Tuggener, Dr. Fernando Benites de Azevedo e Souza, David Graf, Dr. Stefan Glüge, Prof. Dr. Rudolf Marcel Füchslin, Dr. Lukas Lichtensteiger, Prof. Dr. Thilo Stadelmann, Prof. Dr. Mark Cieliebak, Mohammadreza Amirian
Projektpartner
Deep Impact AG
Projektstatus
abgeschlossen, 09/2016 - 05/2019
Institut/Zentrum
Institut für Informatik (InIT); Institut für Computational Life Sciences (ICLS); Centre for Artificial Intelligence (CAI); Institut für Angewandte Mathematik und Physik (IAMP)
Drittmittelgeber
KTI
Projektvolumen
795'250 CHF
Publikationen
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Bias, awareness, and ignorance in deep-learning-based face recognition
2021 Wehrli, Samuel; Hertweck, Corinna; Amirian, Mohammadreza; Glüge, Stefan; Stadelmann, Thilo
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How (not) to measure bias in face recognition networks
2020 Glüge, Stefan; Amirian, Mohammadreza; Flumini, Dandolo; Stadelmann, Thilo
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TRANSLIT : a large-scale name transliteration resource
2020 Benites de Azevedo e Souza, Fernando; Duivesteijn, Gilbert François; von Däniken, Pius; Cieliebak, Mark
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Deep learning in the wild
2018 Stadelmann, Thilo; Amirian, Mohammadreza; Arabaci, Ismail; Arnold, Marek; Duivesteijn, Gilbert François; Elezi, Ismail; Geiger, Melanie; Lörwald, Stefan; Meier, Benjamin Bruno; Rombach, Katharina; Tuggener, Lukas
School of Engineering
Technikumstrasse 9
8400 Winterthur