Deliverables Documents, reports (15) Set of (novel) attack vectors and countermeasures Set of novel attack vectors and countermeasures KPIs and metrics for local execution platforms Working PAML-Layer with low distortion Working PAMLLayer with low distortion Manuscript on Risk management process Experimental results for shape and composition of connection surfaces Model for defining user rights in federated machine learning Manuscript on Quality management process Risk assessment methodology Test report on different graph types Local blockchain mechanism Test report on different classifier ensembles Manuscript on Lifecycle process Selected smart contract mechanism featuring user rights management Survey on graph parallelism Report on performance benchmarks Demonstrators, pilots, prototypes (1) App store ready and extendible by developers Websites, patent fillings, videos etc. (3) Project leaflet for clinical staff Go-online of the public project website Project leaflet for patients Publications Non-peer reviewed articles (2) Flimma: a federated and privacy-preserving tool for differential gene expression analysis Author(s): Olga Zolotareva, Reza Nasirigerdeh, Julian Matschinske, Reihaneh Torkzadehmahani, Mohammad Bakhtiari, Tobias Frisch, Julian Späth, David B. Blumenthal, Amir Abbasinejad, Paolo Tieri, Georgios Kaissis, Daniel Rückert, Nina K. Wenke, Markus List, and Jan Baumbach Published in: Genome Biology, Issue 22, 2021, ISSN 1474-760X Publisher: Springer Nature DOI: 10.1186/s13059-021-02553-2 GNN-SubNet: disease subnetwork detection with explainable Graph Neural Networks Author(s): Bastian Pfeifer, Afan Secic, Anna Saranti, and Andreas Holzinger Published in: Bioinformatics, Issue 38 (2), 2022, Page(s) ii120–ii126, ISSN 1367-4811 Publisher: Oxford University Press DOI: 10.1093/bioinformatics/btac478 Peer reviewed articles (44) Privacy-aware multi-institutional time-to-event studies Author(s): Julian Späth, Julian Matschinske, Frederick K. Kamanu, Sabina A. Murphy, Olga Zolotareva, Mohammad Bakhtiari, Elliott M. Antman, Joseph Loscalzo, Alissa Brauneck, Louisa Schmalhorst, Gabriele Buchholtz, Jan Baumbach Published in: PLOS Digital Health, 2022, ISSN 2767-3170 Publisher: PLOS DOI: 10.1371/journal.pdig.0000101 Verifying compliance in process choreographies: Foundations, algorithms, and implementation Author(s): Walid Fdhila, David Knuplesch, Stefanie Rinderle-Ma, and Manfred Reichert Published in: Information Systems, Issue 108, 2022, ISSN 0306-4379 Publisher: Elsevier Science & Technology DOI: 10.1016/j.is.2022.101983 I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Author(s): Daryna Oliynyk, Rudolf Mayer, Andreas Rauber Published in: ACM Computing Surveys, Issue 55 (14s), 2023, Page(s) Article No: 324, ISSN 1557-7341 Publisher: Association for Computing Machinery DOI: 10.1145/3595292 Privacy-Preserving Artificial Intelligence Techniques in Biomedicine Author(s): Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian Matschinske, Julian Spaeth, Nina Kerstin Wenke, and Jan Baumbach Published in: Methods Inf Med, Issue 61, 2022, Page(s) e12-e27, ISSN 0026-1270 Publisher: Schattauer DOI: 10.1055/s-0041-1740630 Multi-omics disease module detection with an explainable Greedy Decision Forest Author(s): Pfeifer, B., Baniecki, H., Saranti, A. et al. . Sci Rep 12, 16857 Published in: Scientific Reports (Nature), Issue 12, 2022, Page(s) Article number: 16857, ISSN 2045-2322 Publisher: Nature Publishing Group DOI: 10.1038/s41598-022-21417-8 sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies Author(s): Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Julian Matschinske, Tobias Frisch, Markus List, Julian Späth, Stefan Weiss, Uwe Völker, Esa Pitkänen, Dominik Heider, Nina Kerstin Wenke, Georgios Kaissis, Daniel Rueckert, Tim Kacprowski, and Jan Baumbach Published in: Genome Biology, Issue 23, 2022, ISSN 1474-760X Publisher: Springer Nature DOI: 10.1186/s13059-021-02562-1 Molecular networks in Network Medicine: Development and applications. Author(s): Edwin K. Silverman; Harald H.H.W. Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; John Quackenbush; Paolo Tieri; Published in: Wiley Interdisciplinary Reviews: Systems Biology and Medicine, Issue 12, 2020, Page(s) e1489, ISSN 1939-5094 Publisher: John Wiley and Sons Inc. DOI: 10.1002/wsbm.1489 Federated horizontally partitioned principal component analysis for biomedical applications Author(s): Anne Hartebrodt and Richard Roettger Published in: Bioinformatics Advances, Issue 2, 2022, ISSN 2635-0041 Publisher: Oxford University Press DOI: 10.1093/bioadv/vbac026 CTCFL regulates the PI3K-Akt pathway and it is a target for personalized ovarian cancer therapy Author(s): Marisol Salgado-Albarrán, Julian Späth, Rodrigo González-Barrios, Jan Baumbach, and Ernesto Soto-Reyes Published in: Systems Biology and Applications, Issue 8, 2022, ISSN 2056-7189 Publisher: Nature Publishing Group DOI: 10.1038/s41540-022-00214-z Federated singular value decomposition for high-dimensional data Author(s): Anne Hartebrodt, Richard Röttger, and David Blumenthal Published in: Data Mining and Knowledge Discovery, 2023, ISSN 1384-5810 Publisher: Kluwer Academic Publishers DOI: 10.1007/s10618-023-00983-z Personas for Artificial Intelligence (AI) an Open Source Toolbox Author(s): Andreas Holzinger, Michaela Kargl, Bettina Kipperer, Peter Regitnig, Markus Plass and Heimo Müller Published in: IEEE Access, Issue 10, 2022, ISSN 2169-3536 Publisher: Institute of Electrical and Electronics Engineers Inc. DOI: 10.1109/access.2022.3154776 Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare – a proof of concept study for the prediction of coronary artery calcification scores Author(s): Justus Wolff, Julian Matschinske, Dietrich Baumgart, Anne Pytlik, Andreas Keck, Arunakiry Natarajan, Claudio E. von Schacky, Josch K. Pauling and Jan Baumbach Published in: Journal of Integrative Bioinformatics 2022; 19(4):, Issue 19 (4), 2022, Page(s) 20220032, ISSN 1613-4516 Publisher: Informationsmanagement in der Biotechnologie e.V. (IMBio e.V.) DOI: 10.1515/jib-2022-0032 Federated Random Forests can improve local performance of predictive models for various healthcare applications Author(s): Anne-Christin Hauschild, Marta Lemanczyk, Julian Matschinske, Tobias Frisch, Olga Zolotareva, Andreas Holzinger, Jan Baumbach, and Dominik Heider Published in: Bioinformatics, Issue 38, 2022, ISSN 1367-4803 Publisher: Oxford University Press DOI: 10.1093/bioinformatics/btac065 Integrative Analysis of Next-Generation Sequencing for Next-Generation Cancer Research toward Artificial Intelligence Author(s): Youngjun Park, Dominik Heider and Anne-Christin Hauschild Published in: Cancers, Issue 13, 2021, ISSN 2072-6694 Publisher: Multidisciplinary Digital Publishing Institute (MDPI) DOI: 10.3390/cancers13133148 Causability and explainability of artificial intelligence in medicine Author(s): Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller Published in: WIREs Data Mining and Knowledge Discovery, Issue 9/4, 2019, ISSN 1942-4787 Publisher: John Wiley and Sons Inc. DOI: 10.1002/widm.1312 On generating trustworthy counterfactual explanations Author(s): Javier Del Ser, Alejandro Barredo-Arrieta, Natalia Díaz-Rodríguez, Francisco Herrera, Anna Saranti, and Andreas Holzinger Published in: Information Sciences, Issue 655, 2024, Page(s) Article Number: 119898, ISSN 0020-0255 Publisher: Elsevier BV DOI: 10.1016/j.ins.2023.119898 Understanding and Explaining Diagnostic Paths: Toward Augmented Decision Making Author(s): Markus Plass; Michaela Kargl; Patrick Nitsche; Emilian Jungwirth; Andreas Holzinger; Heimo Muller Published in: IEEE Computer Graphics and Applications, Issue 42 (6), 2022, Page(s) 47-57, ISSN 0272-1716 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/mcg.2022.3197957 Transfer learning compensates limited data, batch effects and technological heterogeneity in single-cell sequencing Author(s): Youngjun Park, Anne-Christin Hauschild, and Dominik Heider Published in: NAR Genomics and Bioinformatics, Issue 3, 2021, ISSN 2631-9268 Publisher: Oxford University Press DOI: 10.1093/nargab/lqab104 Hierarchical association of COPD to principal genetic components of biological systems Author(s): Daniel E. Carlin; Simon J. Larsen; Vikram Sirupurapu; Michael H. Cho; Edwin K. Silverman; Jan Baumbach; Trey Ideker Published in: PLoS ONE, Issue 18 (5), 2023, Page(s) e0286064, ISSN 1932-6203 Publisher: Public Library of Science DOI: 10.1371/journal.pone.0286064 dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning Author(s): Han Cao, Youcheng Zhang, Jan Baumbach, Paul R Burton, Dominic Dwyer, Nikolaos Koutsouleris, Julian Matschinske, Yannick Marcon, Sivanesan Rajan, Thilo Rieg, Patricia Ryser-Welch, Julian Späth, The COMMITMENT Consortium, Carl Herrmann, Emanuel Schwarz Published in: Bioinformatics, Issue 38 (21), 2022, Page(s) 4919–4926, ISSN 1367-4811 Publisher: Oxford University Press DOI: 10.1093/bioinformatics/btac616 Towards multi-modal causability with Graph Neural Networks enabling information fusion for explainable AI Author(s): Andreas Holzinger, Bernd Malle, Anna Saranti, Bastian Pfeifer Published in: Information Fusion, Issue 71, 2021, Page(s) 28-37, ISSN 1566-2535 Publisher: Elsevier BV DOI: 10.1016/j.inffus.2021.01.008 Privacy of Federated QR Decomposition Using Additive Secure Multiparty Computation Author(s): Hartebrodt A. and Röttger R. Published in: IEEE Transactions on Information Forensics and Security, Issue 18, 2023, Page(s) 5122-5132, ISSN 1556-6013 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tifs.2023.3301710 Robust disease module mining via enumeration of diverse prize-collecting Steiner trees Author(s): Judith Bernett, Dominik Krupke, Sepideh Sadegh, Jan Baumbach, Sándor P Fekete, Tim Kacprowski, Markus List, and David B Blumenthal Published in: Bioinformatics, Issue 38, 2022, ISSN 1367-4803 Publisher: Oxford University Press DOI: 10.1093/bioinformatics/btab876 Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification Author(s): Bastian Pfeifer; Hryhorii Chereda; Roman Martin; Anna Saranti; Sandra Clemens; Anne-Christin Hauschild; Tim Beißbarth; Andreas Holzinger; Dominik Heider Published in: Bioinformatics, Issue 39 (11), 2023, Page(s) Article ID: btad703, ISSN 1367-4811 Publisher: Oxford University Press DOI: 10.1101/2023.03.22.533772 Federated machine learning in data-protection-compliant research Author(s): Alissa Brauneck, Louisa Schmalhorst, Mohammad Mahdi Kazemi Majdabadi, Mohammad Bakhtiari, Uwe Völker, Christina Caroline Saak, Jan Baumbach, Linda Baumbach & Gabriele Buchholtz Published in: Nature Machine Intelligence, Issue 5, 2023, Page(s) 2–4, ISSN 2522-5839 Publisher: Springer Nature Limited DOI: 10.1038/s42256-022-00601-5 Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Author(s): Isabell Lederer; Rudolf Mayer; Andreas Rauber Published in: IEEE Transactions on Neural Networks and Learning Systems, Issue 02 June 2023, 2023, Page(s) 1-19, ISSN 2162-2388 Publisher: IEEE DOI: 10.1109/tnnls.2023.3270135 Causability and explainability of artificial intelligence in medicine Author(s): Andreas Holzinger, Georg Langs, Helmut Denk, Kurt Zatloukal, Heimo Müller Published in: WIREs Data Mining and Knowledge Discovery, Issue 9/4, 2019, ISSN 1942-4787 Publisher: John Wiley and Sons Inc. DOI: 10.1002/widm.1312 Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research Author(s): Franziska Hufsky, Kevin Lamkiewicz, Alexandre Almeida, Abdel Aouacheria, Cecilia Arighi, Alex Bateman, Jan Baumbach, Niko Beerenwinkel, Christian Brandt, Marco Cacciabue, Sara Chuguransky, Oliver Drechsel, Robert D. Finn, Adrian Fritz, Stephan Fuchs, Georges Hattab, Anne-Christin Hauschild, Dominik Heider, Marie Hoffmann, Martin Hölzer, Stefan Hoops, Lars Kaderali, Ioanna Kalvari, Max von Kleist, Published in: Briefings in Bioinformatics, Issue 22, 2021, Page(s) 642–663, ISSN 1477-4054 Publisher: Oxford University Press DOI: 10.1093/bib/bbaa232 On the limits of active module identification Author(s): Olga Lazareva, Jan Baumbach, Markus List, David B Blumenthal Published in: Briefings in Bioinformatics, 2021, ISSN 1467-5463 Publisher: Oxford University Press DOI: 10.1093/bib/bbab066 Development and applications Author(s): Edwin K. Silverman; Harald H.H.W. Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; John Quackenbush; Paolo Tieri; Published in: WIREs Systems Biology and Medicine, Issue 12, 2020, ISSN 1939-5094 Publisher: John Wiley and Sons Inc. DOI: 10.1002/wsbm.1489 Explainable AI and Multi-Modal Causability in Medicine Author(s): Andreas Holzinger Published in: i-com, Issue 19, 2020, Page(s) 171–179, ISSN 1618-162X Publisher: Oldenbourg Wissenschaftsverlag DOI: 10.1515/icom-2020-0024 The AIMe registry for artificial intelligence in biomedical research Author(s): Julian Matschinske, Nicolas Alcaraz, Arriel Benis, Martin Golebiewski, Dominik G. Grimm, Lukas Heumos, Tim Kacprowski, Olga Lazareva, Markus List, Zakaria Louadi, Josch K. Pauling, Nico Pfeifer, Richard Röttger, Veit Schwämmle, Gregor Sturm, Alberto Traverso, Kristel Van Steen, Martiela Vaz de Freitas, Gerda Cristal Villalba Silva, Leonard Wee, Nina K. Wenke, Massimiliano Zanin, Olga Zolotareva, Published in: Nature Methods, Issue 18, 2021, Page(s) 1128–1131, ISSN 1548-7091 Publisher: Nature Publishing Group DOI: 10.1038/s41592-021-01241-0 The FeatureCloud Platform for Federated Learning in Biomedicine: A Unified Approach Author(s): Julian Matschinske; Julian Späth; Mohammad Bakhtiari; Niklas Probul; Mohammad Mahdi Kazemi Majdabadi; Reza Nasirigerdeh; Reihaneh Torkzadehmahani; Anne Hartebrodt; Balazs-Attila Orban; Sándor-József Fejér; Olga Zolotareva; Supratim Das; Linda Baumbach; Josch K Pauling; Olivera Tomašević; Béla Bihari; Marcus Bloice; Nina C Donner; Walid Fdhila; Tobias Frisch; Anne-Christin Hauschild; Dominik Published in: Journal of Medical Internet Research, Issue 25, 2023, Page(s) e42621, ISSN 1438-8871 Publisher: Journal of medical Internet Research DOI: 10.2196/42621 Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review Author(s): Alissa Brauneck; Louisa Schmalhorst; Mohammad Mahdi Kazemi Majdabadi; Mohammad Bakhtiari; Uwe Völker; Jan Baumbach; Linda Baumbach; Gabriele Buchholtz Published in: Journal of Medical Internet Research, Issue 25, 2023, Page(s) e41588, ISSN 1438-8871 Publisher: Journal of medical Internet Research DOI: 10.2196/41588 The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations Author(s): Ugo Pagallo; Shane O’Sullivan; Nathalie Nevejans; Andreas Holzinger; Michael Friebe; Fleur Jeanquartier; Claire Jean-Quartier; Arkadiusz Miernik Published in: Health and Technology, Issue 14, 2023, Page(s) 1-14, ISSN 2190-7188 Publisher: Springer Verlag DOI: 10.1007/s12553-023-00806-7 Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing Author(s): Sepideh Sadegh, Julian Matschinske, David B. Blumenthal, Gihanna Galindez, Tim Kacprowski, Markus List, Reza Nasirigerdeh, Mhaned Oubounyt, Andreas Pichlmair, Tim Daniel Rose, Marisol Salgado-Albarrán, Julian Späth, Alexey Stukalov, Nina K. Wenke, Kevin Yuan, Josch K. Pauling, Jan Baumbach Published in: Nature Communications, Issue 11/1, 2020, ISSN 2041-1723 Publisher: Nature Publishing Group DOI: 10.1038/s41467-020-17189-2 Fostering reproducibility, reusability, and technology transfer in health informatics Author(s): Anne-Christin Hauschild, Lisa Eick, Joachim Wienbeck, Dominik Heider Published in: iScience, Issue 24/7, 2021, Page(s) 102803, ISSN 2589-0042 Publisher: Cell Press journal DOI: 10.1016/j.isci.2021.102803 Lessons from the COVID-19 pandemic for advancing computational drug repurposing strategies Author(s): Gihanna Galindez, Julian Matschinske, Tim Daniel Rose, Sepideh Sadegh, Marisol Salgado-Albarrán, Julian Späth, Jan Baumbach, Josch Konstantin Pauling Published in: Nature Computational Science, Issue 1/1, 2021, Page(s) 33-41, ISSN 2662-8457 Publisher: Nature Publishing Group DOI: 10.1038/s43588-020-00007-6 Explainability and causability in digital pathology Author(s): Plass, Markus; Kargl, Michaela; Kiehl, Tim‐Rasmus; Regitnig, Peter; Geißler, Christian; Evans, Theodore; Zerbe, Norman; Carvalho, Rita; Holzinger, Andreas; Müller, Heimo Published in: The Journal of Pathology: Clinical Research, Issue 9, 2023, Page(s) 251–260, ISSN 2056-4538 Publisher: The Pathological Society of Great Britain and Ireland and John Wiley & Sons Ltd. DOI: 10.1002/cjp2.322 Toward human-level concept learning: Pattern benchmarking for AI algorithms Author(s): Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Bettina Finzel, Ute Schmid, Heimo Mueller Published in: Patterns, Issue 4 (8), 2023, Page(s) 100788, ISSN 2666-3899 Publisher: Cell Press, New York, NY, USA DOI: 10.1016/j.patter.2023.100788 Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence Author(s): Andreas Holzinger, Matthias Dehmer, Frank Emmert-Streib, Rita Cucchiara, Isabelle Augenstein, Javier Del Ser, Wojciech Samek, Igor Jurisica, and Natali Díaz-Rodríguez Published in: Information Fusion, Issue 79, 2022, ISSN 1566-2535 Publisher: Elsevier BV DOI: 10.1016/j.inffus.2021.10.007 Enabling single-cell trajectory network enrichment Author(s): Alexander G. B. Grønning, Mhaned Oubounyt, Kristiyan Kanev, Jesper Lund, Tim Kacprowski, Dietmar Zehn, Richard Röttger, Jan Baumbach Published in: Nature Computational Science, Issue 1/2, 2021, Page(s) 153-163, ISSN 2662-8457 Publisher: Nature Publishing Group DOI: 10.1038/s43588-021-00025-y Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks Author(s): Isabell Lederer; Rudolf Mayer; Andreas Rauber Published in: IEEE Transactions on Neural Networks and Learning Systems, Issue n/a (online first), 2023, Page(s) 1-19, ISSN 2162-237X Publisher: IEEE Computational Intelligence Society DOI: 10.1109/tnnls.2023.3270135 Toward Human–AI Interfaces to Support Explainability and Causability in Medical AI Author(s): Andreas Holzinger; Heimo Müller Published in: Computer, Issue 25, 2021, ISSN 0018-9162 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/mc.2021.3092610 Conference proceedings (27) Achieving Privacy and Tracing Unauthorised Usage: Anonymisation-based Fingerprinting of Private Data Author(s): Tanja Šarčević, Rudolf Mayer, Philipp Adler Published in: 2023 IEEE International Conference on Big Data, Issue 18.12.2023, 2023, Page(s) 5578-5587, ISBN 979-8-3503-2445-7 Publisher: IEEE DOI: 10.1109/bigdata59044.2023.10386209 Analysing Utility Loss in Federated Learning with Differential Privacy Author(s): Anastasia Pustozerova, Jan Baumbach, Rudolf Mayer Published in: International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Issue 3.11.2023, 2023 Publisher: IEEE DOI: 10.13140/rg.2.2.34594.03521 How much is the fork? Fast Probability and Profitability Calculation during Temporary Forks Author(s): Aljosha Judmayer, Nicholas Stifter, Philipp Schindler, and Edgar Weippl Published in: Companion Proceedings of the Web Conference 2022, Issue 25 - 29 April 2022, 2022, Page(s) 1-13, ISBN 978-1-4503-9130-6 Publisher: International Association for Cryptologic Research DOI: 10.1145/3487553.3524627 Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. Author(s): Holzinger A. et al. Published in: Holzinger, A., Kieseberg, P., Cabitza, F., Campagner, A., Tjoa, A.M., Weippl, E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2023. Lecture Notes in Computer Science, Issue 14065, 2023, ISBN 978-3-031-40836-6 Publisher: Springer DOI: 10.1007/978-3-031-40837-3_4 k-Anonymity on Metagenomic Features in Microbiome Databases Author(s): Rudolf Mayer; Alicja Karlowicz; Markus Hittmeir Published in: ARES '23: Proceedings of the 18th International Conference on Availability, Reliability and Security, Issue 18, 2023, Page(s) 1-11, ISBN 979-8-4007-0772-8 Publisher: Association for Computing Machinery, New York, NY, United States DOI: 10.1145/3600160.3600178 SoK: How private is Bitcoin? Classification and Evaluation of Bitcoin Privacy Techniques Author(s): Simin Ghesmati; Walid Fdhila; Edgar Weippl Published in: ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security, Issue 17, 2022, Page(s) 1-14, ISBN 978-1-4503-9670-7 Publisher: ACM Digital Library, New York, NY, United States DOI: 10.1145/3538969.3538971 Potential Applications of Transfer Learning in Limited Biomedical Data Author(s): Park, Y; Hauschild, AC; Heider, D Published in: 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF); 20220821-20220825; sine loco [digital]; DOCAbstr. 75 /20220819/, Issue 67, 2022 Publisher: Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie DOI: 10.3205/22gmds112 Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD Author(s): Anastasia Pustozerova; Jan Baumbach; Rudolf Mayer Published in: 2023 IEEE International Conference on Big Data (BigData), Issue 18.12.2023, 2023, Page(s) 5549-5558, ISBN 979-8-3503-2445-7 Publisher: IEEE DOI: 10.1109/bigdata59044.2023.10386466 Usability of Cryptocurrency Wallets Providing CoinJoin Transactions Author(s): Simin Ghesmati, Walid Fdhila and Edgar Weippl Published in: Proceedings of the Usable Security and Privacy (USEC) Symposium 2022, 2022, ISBN 1-891562-79-7 Publisher: The Internet Society DOI: 10.14722/usec.2022.23037 A Comparison of Federated Aggregation Strategies and Architectures for Next-word Prediction Author(s): Yana Sakhnovych; Richard Röttger; Rudolf Mayer; Published in: 2023 IEEE International Conference on Big Data (BigData), Issue 18.12.2023, 2023, Page(s) 5569-5577, ISBN 979-8-3503-2445-7 Publisher: IEEE DOI: 10.1109/bigdata59044.2023.10386579 Information Leaks in Federated Learning Author(s): Anastassiya Pustozerova, Rudolf Mayer Published in: Proceedings 2020 Workshop on Decentralized IoT Systems and Security, 2020, ISBN 1-891562-64-9 Publisher: Internet Society DOI: 10.14722/diss.2020.23004 Data Poisoning in Sequential and Parallel Federated Learning Author(s): Florian Nuding and Rudolf Mayer Published in: IWSPA '22: Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, 2022, Page(s) 24-34, ISBN 978-1-4503-9230-3 Publisher: Association for Computing Machinery (ACM) DOI: 10.1145/3510548.3519372 The Tower of Babel in Explainable Artificial Intelligence (XAI) Author(s): David Schneeberger, Richard Röttger, Federico Cabitza, Andrea Campagner, Markus Plass, Heimo Müller & Andreas Holzinger Published in: Holzinger, A., Kieseberg, P., Cabitza, F., Campagner, A., Tjoa, A.M., Weippl, E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2023. Lecture Notes in Computer Science, Issue 14065, 2023, Page(s) 65–81, ISBN 978-3-031-40836-6 Publisher: Springer DOI: 10.1007/978-3-031-40837-3_5 Visualization of Histopathological Decision Making Using a Roadbook Metaphor Author(s): Birgit Pohn, Marie-Christina Mayer, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Muller Published in: 2019 23rd International Conference Information Visualisation (IV), 2019, Page(s) 392-397, ISBN 978-1-7281-2838-2 Publisher: IEEE DOI: 10.1109/iv.2019.00073 Information Leaks in Federated Learning Author(s): Anastasia Pustozerova, Rudolf Mayer Published in: 2020 Publisher: NDSS -Workshop on Decentralized IoT Systems and Security (DISS) 2020 Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology Author(s): Birgit Pohn, Michaela Kargl, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Muller Published in: 2019 IEEE Symposium on Computers and Communications (ISCC), 2019, Page(s) 1081-1086, ISBN 978-1-7281-2999-0 Publisher: IEEE DOI: 10.1109/iscc47284.2019.8969598 Visualization of Histopathological Decision Making Using a Roadbook Metaphor Author(s): Birgit Pohn, Marie-Christina Mayer, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Muller Published in: 2019 23rd International Conference Information Visualisation (IV), 2019, Page(s) 392-397, ISBN 978-1-7281-2838-2 Publisher: IEEE DOI: 10.1109/iv.2019.00073 Poisoning Attacks in Federated Learning - An Evaluation on Traffic Sign Classification Author(s): Florian Nuding, Rudolf Mayer Published in: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 2020, Page(s) 168-170, ISBN 9781-450371070 Publisher: ACM DOI: 10.1145/3374664.3379534 An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs Author(s): Requena GA, Mayer R, and Ekelhart A Published in: 2022 IEEE International Conference on Big Data (Big Data), 2022, Page(s) 5783-5791, ISBN 978-1-6654-8045-1 Publisher: IEEE DOI: 10.1109/bigdata55660.2022.10020301 Visualization of Histopathological Decision Making Using a Roadbook Metaphor Author(s): Birgit Pohn; Marie-Christina Mayer; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller Published in: 23rd International Conference Information Visualisation (IV), Issue 02-05 July 2019, 2019, Page(s) 392-397, ISBN 978-1-7281-2838-2 Publisher: IEEE DOI: 10.1109/iv.2019.00073 Adaptive Attacks and Targeted Fingerprinting of Relational Data Author(s): Šarčević T, Mayer R, and Rauber A Published in: 2022 IEEE International Conference on Big Data (Big Data), 2022, Page(s) 5792-5801, ISBN 978-1-6654-8045-1 Publisher: IEEE DOI: 10.1109/bigdata55660.2022.10020266 Poisoning Attacks in Federated Learning - An Evaluation on Traffic Sign Classification Author(s): Florian Nuding, Rudolf Mayer Published in: Proceedings of the Tenth ACM Conference on Data and Application Security and Privacy, 2020, Page(s) 168-170, ISBN 9781450371070 Publisher: ACM DOI: 10.1145/3374664.3379534 Estimating (Miner) Extractable Value is Hard, Let’s Go Shopping! Author(s): Aljosha Judmayer, Nicholas Stifter, Philipp Schindler, and Edgar Weippl Published in: Matsuo, S., et al. Financial Cryptography and Data Security (FC 2022). FC 2022 International Workshops. Lecture Notes in Computer Science, Issue Vol. 13412, 2023, ISBN 978-3-031-32414-7 Publisher: Springer DOI: 10.1007/978-3-031-32415-4_6 Opportunistic Algorithmic Double-Spending: How I Learned to Stop Worrying and Love the Fork Author(s): Stifter N, Judmayer A, Schindler P, and Weippl E Published in: Atluri, V., Di Pietro, R., Jensen, C.D., Meng, W. (eds) Computer Security – ESORICS 2022. Lecture Notes in Computer Science, Issue 13554, 2022, ISBN 978-3-031-17139-0 Publisher: Springer DOI: 10.1007/978-3-031-17140-6_3 Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology Author(s): Birgit Pohn; Michaela Kargl; Robert Reihs; Andreas Holzinger; Kurt Zatloukal; Heimo Müller Published in: 2019 IEEE Symposium on Computers and Communications (ISCC), Issue 29 June - 03 July 2019, 2019, Page(s) 1081-1086, ISBN 978-1-7281-2999-0 Publisher: IEEE DOI: 10.1109/iscc47284.2019.8969598 Federated Principal Component Analysis for Genome-Wide Association Studies Author(s): Anne Hartebrodt, Reza Nasirigerdeh, David Blumenthal, and Richard Röttger Published in: IEEE International Conference on Data Mining (ICDM) 2021, 2021, Page(s) 1090-1095, ISBN 978-1-6654-2398-4 Publisher: IEEE DOI: 10.1109/icdm51629.2021.00127 Towards a Deeper Understanding of How a Pathologist Makes a Diagnosis: Visualization of the Diagnostic Process in Histopathology Author(s): Birgit Pohn, Michaela Kargl, Robert Reihs, Andreas Holzinger, Kurt Zatloukal, Heimo Muller Published in: 2019 IEEE Symposium on Computers and Communications (ISCC), 2019, Page(s) 1081-1086, ISBN 978-1-7281-2999-0 Publisher: IEEE DOI: 10.1109/iscc47284.2019.8969598 Book chapters (5) Challenges and Opportunities of Blockchain for Auditable Processes in the Healthcare Sector Author(s): Fdhila W, Stifter N, and Judmayer A Published in: Marrella, A., et al. Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum. BPM 2022. Lecture Notes in Business Information Processing, Issue 459, 2022, ISBN 978-3-031-16167-4 Publisher: Springer DOI: 10.1007/978-3-031-16168-1_5 User-Perceived Privacy in Blockchain Author(s): Simin Ghesmati, Walid Fdhila, and Edgar Weippl Published in: Financial Cryptography and Data Security. FC 2022 International Workshops. Lecture Notes in Computer Science, Issue vol. 13412, 2023, ISBN 978-3-031-32414-7 Publisher: Springer DOI: 10.1007/978-3-031-32415-4_12 Anomaly Detection from Distributed Data Sources via Federated Learning Author(s): Florencia Cavallin and Rudolf Mayer Published in: Lecture Notes in Networks and Systems, Issue 450, 2022, ISBN 978-3-030-99586-7 Publisher: Springer DOI: 10.1007/978-3-030-99587-4_27 Training Effective Neural Networks on Structured Data with Federated Learning Author(s): Anastasia Pustozerova, Andreas Rauber, Rudolf Mayer Published in: Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 2, Issue 226, 2021, Page(s) 394-406, ISBN 978-3-030-75074-9 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-75075-6_32 An Analysis of Different Notions of Effectiveness in k-Anonymity Author(s): Tanja Šarčević, David Molnar, Rudolf Mayer Published in: Privacy in Statistical Databases - UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings, Issue 12276, 2020, Page(s) 121-135, ISBN 978-3-030-57520-5 Publisher: Springer International Publishing DOI: 10.1007/978-3-030-57521-2_9 Thesis and dissertations (1) Federated Unsupervised Machine Learning Author(s): Hartebrodt, Anne Published in: SDU - University of Southern Denmark, Department of Mathematics and Computer Science, Issue n/a, 2021, Page(s) 1-192 Publisher: Syddansk Universitet, Det Naturvidenskabelige Fakultet DOI: 10.21996/z4yw-jm67 Other (5) Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing Author(s): Sepideh Sadegh, Julian Matschinske, David B. Blumenthal, Gihanna Galindez, Tim Kacprowski, Markus List, Reza Nasirigerdeh, Mhaned Oubounyt, Andreas Pichlmair, Tim Daniel Rose, Marisol Salgado-Albarrán, Julian Späth, Alexey Stukalov, Nina K. Wenke, Kevin Yuan, Josch K. Pauling, Jan Baumbach Published in: 2020 Publisher: Cornell University, Quantitative Biology - Molecular Network Module Detection from Multi-Modal Node Features with a Greedy Decision Forest for Actionable Explainable AI Author(s): Bastian Pfeifer, Hubert Baniecki, Anna Saranti, Przemyslaw Biecek, and Andreas Holzinger Published in: Arxiv (Preprint), 2021 Publisher: Cornell University DOI: 10.48550/arxiv.2108.11674 What is Meant by Permissionless Blockchains? Author(s): Nicholas Stifter, Aljosha Judmayer, Philipp Schindler, Andreas Kern, and Walid Fdhila Published in: Cryptology ePrint Archive (Preprint), Issue 23, 2021, Page(s) See video of paper presentation: https://ucloud.univie.ac.at/index.php/s/eWa6ibu4YgFjfFO, ISSN 1432-1378 Publisher: The International Association for Cryptologic Research (IACR)' Privacy-preserving Artificial Intelligence Techniques in Biomedicine Author(s): Torkzadehmahani, Reihaneh; Nasirigerdeh, Reza; Blumenthal, David B.; Kacprowski, Tim; List, Markus; Matschinske, Julian; Späth, Julian; Wenke, Nina Kerstin; Bihari, Béla; Frisch, Tobias; Hartebrodt, Anne; Hausschild, Anne-Christin; Heider, Dominik; Holzinger, Andreas; Hötzendorfer, Walter; Kastelitz, Markus; Mayer, Rudolf; Nogales, Cristian; Pustozerova, Anastasia; Röttger, Richard; Schmidt, H Published in: arXiv, Issue 12, 2020 Publisher: arXiv / Cornell Tech Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing Author(s): Sepideh Sadegh, Julian Matschinske, David B. Blumenthal, Gihanna Galindez, Tim Kacprowski, Markus List, Reza Nasirigerdeh, Mhaned Oubounyt, Andreas Pichlmair, Tim Daniel Rose, Marisol Salgado-Albarrán, Julian Späth, Alexey Stukalov, Nina K. Wenke, Kevin Yuan, Josch K. Pauling, Jan Baumbach Published in: 2020 Publisher: Cornell University, Quantitative Biology - Molecular Networks Searching for OpenAIRE data... There was an error trying to search data from OpenAIRE No results available
