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ORCIDRudolf Mayer
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2020 – today
- 2024
[j14]Rudolf Mayer
, Markus Hittmeir, Andreas Ekelhart:
Distance-based linkage of personal microbiome records for identification and its privacy implications. Comput. Secur. 136: 103538 (2024)- [j13]Fajar J. Ekaputra, Andreas Ekelhart, Rudolf Mayer, Tomasz Miksa, Tanja Sarcevic, Sotirios Tsepelakis, Laura Waltersdorfer:
Semantic-enabled architecture for auditable privacy-preserving data analysis. Semantic Web 15(3): 675-708 (2024) - [j12]Isabell Lederer, Rudolf Mayer, Andreas Rauber:
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13082-13100 (2024) - [c74]Markus Wurzenberger, Stephan Krenn, Max Landauer, Florian Skopik, Cora Perner, Jarno Lötjönen, Jani Päijänen, Georgios Gardikis, Nikos Alabasis, Liisa Sakerman, Kristiina Omri, Juha Röning, Kimmo Halunen, Vincent Thouvenot, Martin Weise, Andreas Rauber, Vasileios Gkioulos, Sokratis K. Katsikas, Luigi Sabetta, Jacopo Bonato, Rocío Ortíz, Daniel Navarro, Nikolaos Stamatelatos, Ioannis Avdoulas, Rudolf Mayer, Andreas Ekelhart, Ioannis Giannoulakis, Emmanouil Kafetzakis, Antonello Corsi, Ulrike Lechner, Corinna Schmitt:
NEWSROOM: Towards Automating Cyber Situational Awareness Processes and Tools for Cyber Defence. ARES 2024: 69:1-69:11 - [i13]Tanja Sarcevic, Alicja Karlowicz, Rudolf Mayer, Ricardo Baeza-Yates, Andreas Rauber:
U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI. CoRR abs/2406.15386 (2024) - 2023
- [j11]Daryna Oliynyk, Rudolf Mayer, Andreas Rauber:
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences. ACM Comput. Surv. 55(14s): 324:1-324:41 (2023) - [j10]Borna Feldsar, Rudolf Mayer, Andreas Rauber:
Detecting Adversarial Examples Using Surrogate Models. Mach. Learn. Knowl. Extr. 5(4): 1796-1825 (2023) - [c73]Rudolf Mayer, Alicja Karlowicz, Markus Hittmeir:
k-Anonymity on Metagenomic Features in Microbiome Databases. ARES 2023: 17:1-17:11 - [c72]Nina Niederhametner, Rudolf Mayer:
Protecting Multiple Sensitive Attributes in Synthetic Micro-data. IEEE Big Data 2023: 5529-5538 - [c71]Anastasia Pustozerova, Jan Baumbach, Rudolf Mayer:
Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD. IEEE Big Data 2023: 5549-5558 - [c70]Yana Sakhnovych, Richard Röttger, Rudolf Mayer:
A Comparison of Federated Aggregation Strategies and Architectures for Next-word Prediction. IEEE Big Data 2023: 5569-5577 - [c69]Tanja Sarcevic, Rudolf Mayer, Philipp Adler:
Achieving Privacy and Tracing Unauthorised Usage: Anonymisation-based Fingerprinting of Private Data. IEEE Big Data 2023: 5578-5587 - [c68]Anastasia Pustozerova, Jan Baumbach, Rudolf Mayer:
Analysing Utility Loss in Federated Learning with Differential Privacy. TrustCom 2023: 1230-1235 - [i12]Isabell Lederer, Rudolf Mayer, Andreas Rauber:
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks. CoRR abs/2304.11285 (2023) - [i11]Andrea Siposova, Rudolf Mayer, Matthias Schlögl, Jasmin Lampert:
Supporting Landslide Disaster Risk Reduction Using Data-driven Methods. ERCIM News 2023(135) (2023) - 2022
- [j9]Gerd Hübscher, Verena Geist, Dagmar Auer, Andreas Ekelhart, Rudolf Mayer, Stefan Nadschläger, Josef Küng:
Graph-based managing and mining of processes and data in the domain of intellectual property. Inf. Syst. 106: 101844 (2022) - [c67]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Distance-based Techniques for Personal Microbiome Identification✱. ARES 2022: 3:1-3:13 - [c66]Florencia Cavallin, Rudolf Mayer:
Anomaly Detection from Distributed Data Sources via Federated Learning. AINA (2) 2022: 317-328 - [c65]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Efficient Bayesian Network Construction for Increased Privacy on Synthetic Data. IEEE Big Data 2022: 5721-5730 - [c64]Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart:
An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs. IEEE Big Data 2022: 5783-5791 - [c63]Tanja Sarcevic, Rudolf Mayer, Andreas Rauber:
Adaptive Attacks and Targeted Fingerprinting of Relational Data. IEEE Big Data 2022: 5792-5801 - [c62]Majlinda Llugiqi, Rudolf Mayer:
An Empirical Analysis of Synthetic-Data-Based Anomaly Detection. CD-MAKE 2022: 306-327 - [c61]Florian Nuding, Rudolf Mayer:
Data Poisoning in Sequential and Parallel Federated Learning. IWSPA@CODASPY 2022: 24-34 - [c60]Aleksandar Jankovic, Rudolf Mayer:
An Empirical Evaluation of Adversarial Examples Defences, Combinations and Robustness Scores. IWSPA@CODASPY 2022: 86-92 - [c59]Robin Mayerhofer, Rudolf Mayer:
Poisoning Attacks against Feature-Based Image Classification. CODASPY 2022: 358-360 - [c58]Rudolf Mayer, Andreas Ekelhart:
Macro-level Inference in Collaborative Learning. CODASPY 2022: 373-375 - [c57]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Utility and Privacy Assessment of Synthetic Microbiome Data. DBSec 2022: 15-27 - [c56]Andrea Milakovic, Rudolf Mayer:
Combining Defences Against Data-Poisoning Based Backdoor Attacks on Neural Networks. DBSec 2022: 28-47 - [c55]Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart:
Anonymisation of Heterogeneous Graphs with Multiple Edge Types. DEXA (1) 2022: 130-135 - [i10]Daryna Oliynyk, Rudolf Mayer, Andreas Rauber:
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences. CoRR abs/2206.08451 (2022) - [i9]Rudolf Mayer:
Privacy-Preserving Collaborative Anomaly Detection to Fight Cybercrime. ERCIM News 2022(129): 0 (2022) - 2021
- [c54]Anastasia Pustozerova, Andreas Rauber, Rudolf Mayer:
Training Effective Neural Networks on Structured Data with Federated Learning. AINA (2) 2021: 394-406 - [i8]Julian O. Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga I. Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus D. Bloice, Nina C. Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald H. H. W. Schmidt, Christof Tschohl, Nina Kerstin Wenke, Jan Baumbach:
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond. CoRR abs/2105.05734 (2021) - [i7]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
Privacy Risks and Anonymization of Microbiome Data. ERCIM News 2021(126) (2021) - [i6]Rudolf Mayer, Thijs Veugen:
Privacy Preserving Computation - Introduction to the Special Theme. ERCIM News 2021(126) (2021) - [i5]Tomasz Miksa, Tanja Sarcevic, Rudolf Mayer, Laura Waltersdorfer:
WellFort: A Platform for Privacy-Preserving Data Analysis. ERCIM News 2021(126) (2021) - [i4]Anastasia Pustozerova, Rudolf Mayer:
Data Privacy in Smart Cities ? Federated Learning to the Rescue? ERCIM News 2021(126): 0 (2021) - [i3]Tanja Sarcevic, Rudolf Mayer:
Measuring the Effectiveness of Anonymised Data. ERCIM News 2021(126) (2021) - 2020
- [c53]Markus Hittmeir, Rudolf Mayer, Andreas Ekelhart:
A Baseline for Attribute Disclosure Risk in Synthetic Data. CODASPY 2020: 133-143 - [c52]Florian Nuding, Rudolf Mayer:
Poisoning Attacks in Federated Learning: An Evaluation on Traffic Sign Classification. CODASPY 2020: 168-170 - [c51]Rudolf Mayer, Markus Hittmeir, Andreas Ekelhart:
Privacy-Preserving Anomaly Detection Using Synthetic Data. DBSec 2020: 195-207 - [c50]Tanja Sarcevic, David Molnar, Rudolf Mayer:
An Analysis of Different Notions of Effectiveness in k-Anonymity. PSD 2020: 121-135 - [c49]Tanja Sarcevic, Rudolf Mayer:
A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases. SEC 2020: 401-415 - [i2]Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian O. Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, Jan Baumbach:
Privacy-preserving Artificial Intelligence Techniques in Biomedicine. CoRR abs/2007.11621 (2020) - [i1]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
Evaluation of Synthetic Data for Privacy-Preserving Machine Learning. ERCIM News 2020(123) (2020)
2010 – 2019
- 2019
- [c48]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks. ARES 2019: 29:1-29:6 - [c47]Markus Hittmeir, Andreas Ekelhart, Rudolf Mayer:
Utility and Privacy Assessments of Synthetic Data for Regression Tasks. IEEE BigData 2019: 5763-5772 - [c46]Tanja Sarcevic, Rudolf Mayer:
An Evaluation on Robustness and Utility of Fingerprinting Schemes. CD-MAKE 2019: 209-228 - [c45]Huma Rehman, Andreas Ekelhart, Rudolf Mayer:
Backdoor Attacks in Neural Networks - A Systematic Evaluation on Multiple Traffic Sign Datasets. CD-MAKE 2019: 285-300 - 2017
- [j8]Niki Popper, Florian Endel, Rudolf Mayer, Martin Bicher, Barbara Glock:
Planning Future Health: Developing Big Data and System Modelling Pipelines for Health System Research. Simul. Notes Eur. 27(4): 203-208 (2017) - 2016
- [c44]Fuensanta Torres Garcia, Katharina Krombholz, Rudolf Mayer, Edgar R. Weippl:
Hand Dynamics for Behavioral User Authentication. ARES 2016: 389-398 - 2015
- [j7]Tomasz Miksa, Rudolf Mayer, Andreas Rauber:
Ensuring sustainability of web services dependent processes. Int. J. Comput. Sci. Eng. 10(1/2): 70-81 (2015) - [j6]Tomasz Miksa, Rudolf Mayer, Andreas Rauber:
Raising resilience of web service dependent repository systems. Int. J. Web Inf. Syst. 11(3): 327-346 (2015) - [j5]Rudolf Mayer, Gonçalo Antunes, Artur Caetano, Marzieh Bakhshandeh, Andreas Rauber, José Borbinha:
Using ontologies to capture the semantics of a (business) process for digital preservation. Int. J. Digit. Libr. 15(2-4): 129-152 (2015) - [j4]Pascal Bouvry, Rudolf Mayer, Jakub Muszynski, Dana Petcu, Andreas Rauber, Gianluca Tempesti, Tuan Anh Trinh, Sébastien Varrette:
Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project. Supercomput. Front. Innov. 2(2): 46-63 (2015) - [c43]Stefan Pröll, Rudolf Mayer, Andreas Rauber:
Data Access and Reproducibility in Privacy Sensitive eScience Domains. e-Science 2015: 255-258 - [c42]Rudolf Mayer, Andreas Rauber:
A Quantitative Study on the Re-executability of Publicly Shared Scientific Workflows. e-Science 2015: 312-321 - [c41]Andreas Rauber, Tomasz Miksa, Rudolf Mayer, Stefan Pröll:
Repeatability and Re-usability in Scientific Processes: Process Context, Data Identification and Verification. DAMDID/RCDL 2015: 246-256 - 2014
- [j3]Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, Artur Caetano:
Using Ontologies for Enterprise Architecture Integration and Analysis. Complex Syst. Informatics Model. Q. 1: 1-23 (2014) - [c40]Rudolf Mayer, Tomasz Miksa, Andreas Rauber:
Ontologies for Describing the Context of Scientific Experiment Processes. eScience 2014: 153-160 - [c39]Tomasz Miksa, Rudolf Mayer, Marco Unterberger, Andreas Rauber:
Resilient Web Services for Timeless Business Processes. iiWAS 2014: 243-252 - [c38]Angela Dappert, Rudolf Mayer, Stefan Pröll, Andreas Rauber, Kevin R. Page, Raúl Palma, Daniel Garijo:
Preserving Data to Preserving Research: Curation of Process and Context. iPRES 2014 - [c37]Rudolf Mayer, Johannes Binder, Stephan Strodl, Andreas Rauber:
Automatic Discovery of Preservation Alternatives Supported by Community Maintained Knowledge Bases. iPRES 2014 - [c36]Tomasz Miksa, Gonçalo Antunes, Ricardo Vieira, Andreas Rauber, Stephan Strodl, Rudolf Mayer:
Risk Driven Selection of Preservation Activities for Increasing Sustainability of Open Source Systems and Workflows. iPRES 2014 - [c35]Rudolf Mayer, Andreas Rauber, Gonçalo Antunes:
A context model for digital preservation of processes and its application to a digital library system. JCDL 2014: 459-460 - [c34]Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, Artur Caetano:
Ontology-based enterprise architecture model analysis. SAC 2014: 1420-1422 - [c33]Kevin R. Page, Raúl Palma, Piotr Holubowicz, Graham Klyne, Stian Soiland-Reyes, Daniel Garijo, Khalid Belhajjame, Rudolf Mayer:
Research Objects for Audio Processing: Capturing Semantics for Reproducibility. Semantic Audio 2014 - 2013
- [c32]Gonçalo Antunes, Artur Caetano, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha:
Using Ontologies to Integrate Multiple Enterprise Architecture Domains. BIS (Workshops) 2013: 61-72 - [c31]Marzieh Bakhshandeh, Gonçalo Antunes, Rudolf Mayer, José Borbinha, Artur Caetano:
A Modular Ontology for the Enterprise Architecture Domain. EDOC Workshops 2013: 5-12 - [c30]Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, Artur Caetano:
Using Ontologies for Enterprise Architecture Analysis. EDOC Workshops 2013: 361-368 - [c29]Rudolf Mayer, Mark Guttenbrunner, Andreas Rauber:
Evaluation of Preserved Scientific Processes. TPDL 2013: 434-437 - [c28]Rudolf Mayer, Stefan Pröll, Andreas Rauber, Raúl Palma, Daniel Garijo:
From Preserving Data to Preserving Research: Curation of Process and Context. TPDL 2013: 490-491 - [c27]Tomasz Miksa, Stefan Pröll, Rudolf Mayer, Stephan Strodl, Ricardo Vieira, José Barateiro, Andreas Rauber:
Framework for Verification of Preserved and Redeployed Processes. iPRES 2013 - [c26]Stephan Strodl, Rudolf Mayer, Gonçalo Antunes, Daniel Draws, Andreas Rauber:
Digital Preservation of a Process and its Application to e-Science Experiments. iPRES 2013 - 2012
- [c25]Rudolf Mayer, Andreas Rauber, Martin Alexander Neumann, John Thomson, Gonçalo Antunes:
Preserving Scientific Processes from Design to Publications. TPDL 2012: 113-124 - [c24]Rudolf Mayer, Stefan Pröll, Andreas Rauber:
The Applicability of Workflow Management Systems for the Preservation of Business Processes. iPRES 2012 - [c23]Rudolf Mayer, Stephan Strodl, Andreas Rauber:
On the Complexity of Process Preservation: A Case Study on an E-Science Experiment. iPRES 2012 - [c22]Martin Alexander Neumann, Michael Beigl, Rudolf Mayer, Hossein Miri, John Thomson, Gonçalo Antunes:
Towards a Decision Support Architecture for Digital Preservation of Business Processes. iPRES 2012 - [c21]Rudolf Mayer, Andreas Rauber:
Towards Time-resilient MIR Processes. ISMIR 2012: 337-342 - [c20]Alexander Schindler, Rudolf Mayer, Andreas Rauber:
Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset. ISMIR 2012: 469-474 - 2011
- [c19]Robert Neumayer, Rudolf Mayer, Kjetil Nørvåg:
Combination of Feature Selection Methods for Text Categorisation. ECIR 2011: 763-766 - [c18]Rudolf Mayer, Andreas Rauber:
Music Genre Classification by Ensembles of Audio and Lyrics Features. ISMIR 2011: 675-680 - [c17]Rudolf Mayer, Andreas Rauber:
On Wires and Cables: Content Analysis of WikiLeaks Using Self-Organising Maps. WSOM 2011: 238-246 - [c16]Rudolf Mayer:
Analysing the Similarity of Album Art with Self-Organising Maps. WSOM 2011: 357-366 - 2010
- [c15]Rudolf Mayer, Andreas Rauber:
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees. ICANN (2) 2010: 426-431 - [c14]Thomas Lidy, Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Antonio Pertusa, José Manuel Iñesta Quereda:
A Cartesian Ensemble of Feature Subspace Classifiers for Music Categorization. ISMIR 2010: 279-284 - [p2]Rudolf Mayer, Andreas Rauber:
Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond? Advances in Music Information Retrieval 2010: 333-363
2000 – 2009
- 2009
- [c13]Cristian Bogdan, Rudolf Mayer:
Makumba: the role of the technology for the sustainability of amateur programming practice and community. C&T 2009: 205-214 - [c12]Rudolf Mayer, Robert Neumayer, Andreas Rauber:
Data Recovery from Distributed Personal Repositories. ECDL 2009: 455-458 - [c11]Rudolf Mayer, Robert Neumayer, Andreas Rauber:
Interacting with (semi-) automatically extracted context of digital objects. CIAO@ESWC 2009: 5:1-5:9 - [c10]Rudolf Mayer, Robert Neumayer, Doris Baum, Andreas Rauber:
Analytic Comparison of Self-Organising Maps. WSOM 2009: 182-190 - 2008
- [j2]Andreas Pesenhofer, Rudolf Mayer, Andreas Rauber:
Automating the Management of Scientific Conferences using Information Mining Techniques. J. Digit. Inf. Manag. 6(1): 3-11 (2008) - [j1]Rudolf Mayer, Angela Roiger, Andreas Rauber:
Map-based Interfaces for Information Management in Large Text Collections. J. Digit. Inf. Manag. 6(4): 294-302 (2008) - [c9]Rudolf Mayer, Robert Neumayer, Andreas Rauber:
Rhyme and Style Features for Musical Genre Classification by Song Lyrics. ISMIR 2008: 337-342 - [c8]Rudolf Mayer, Robert Neumayer, Andreas Rauber:
Combination of audio and lyrics features for genre classification in digital audio collections. ACM Multimedia 2008: 159-168 - [p1]Derek Greene, Pádraig Cunningham, Rudolf Mayer:
Unsupervised Learning and Clustering. Machine Learning Techniques for Multimedia 2008: 51-90 - 2007
- [c7]Rudolf Mayer, Angela Roiger, Andreas Rauber:
Supporting Information Management in Digital Libraries with Map-Based Interfaces. ECDL 2007: 475-480 - [c6]Rudolf Mayer, Taha Abdel Aziz, Andreas Rauber:
Visualising Class Distribution on Self-organising Maps. ICANN (2) 2007: 359-368 - [c5]Rudolf Mayer, Angela Roiger, Andreas Rauber:
Supporting information management in digital libraries with map-based interfaces. ICDIM 2007: 55-60 - [c4]Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, Andreas Rauber:
The Metro Visualisation of Component Planes for Self-Organising Maps. IJCNN 2007: 2788-2793 - 2006
- [c3]Rudolf Mayer, Andreas Rauber:
Adding SOMLib Capabilities to the Greenstone Digital Library System. ICADL 2006: 486-489 - [c2]Andreas Pesenhofer, Rudolf Mayer, Andreas Rauber:
Improving Scientific Conferences by Enhancing Conference Management Systems with Information Mining Capabilities. ICDIM 2006: 359-366 - [c1]Rudolf Mayer, Thomas Lidy, Andreas Rauber:
The Map of Mozart. ISMIR 2006: 351-352
Coauthor Index
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last updated on 2024-10-23 20:28 CEST by the dblp team
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