2023W

• Machine Learning / 184.702 / VU
• Self-Organizing Systems / 188.413 / VU

2024S

• Machine Learning / 184.702 / VU
• Security, Privacy and Explainability in Machine Learning / 194.055 / VU

• Skalierbare Langzeitarchivierungsumgebungen
  2011 – 2014 / European Commission
  Publications: 162919 / 167605 / 27404 / 53775 / 53956 / 53959 / 53961 / 53962 / 53963 / 53964
• Research Studio Digital Memory Engineering
  2009 – 2012 / Austrian Research Promotion Agency (FFG)
• PLANETS: Permanent Long-Term Access through Networked Services
  2006 – 2011 / European Commission
  Publications: 51891 / 51892 / 51907 / 52096 / 52517 / 52632 / 52735 / 52769 / 52770 / 52957 / 52959
• FODOK: Austrian Research Documentation
  2006 – 2009 / Johannes Kepler Universität Linz
• Muscle
  2004 – 2009 / European Commission
  Publications: 51054 / 51055 / 51057 / 51058 / 51059
• Delos
  2004 – 2007 / European Commission
  Publication: 51891

2023

• Detecting adversarial examples using surrogate models / Feldsar, B., Mayer, R., & Rauber, A. (2023). Detecting adversarial examples using surrogate models. Machine Learning and Knowledge Extraction, 5(4), 1796–1825. https://doi.org/10.3390/make5040087
  Download: PDF (3.16 MB)
• I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences / Oliynyk, D., Mayer, R., & Rauber, A. (2023). I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences. ACM Computing Surveys, 55(14s), Article 324. https://doi.org/10.1145/3595292
• Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks / Lederer, I., Mayer, R., & Rauber, A. (2023). Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2023.3270135

2022

• Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis / Ekaputra, F. J., Ekelhart, A., Mayer, R., Miksa, T., Šarčević, T., Tsepelakis, S., & Waltersdorfer, L. (2022). Semantic-enabled Architecture for Auditable Privacy-Preserving Data Analysis. Semantic Web: Interoperability, Usability, Applicability, 1–34. https://doi.org/10.3233/sw-212883

2021

• Training Effective Neural Networks on Structured Data with Federated Learning / Pustozerova, A., Rauber, A., & Mayer, R. (2021). Training Effective Neural Networks on Structured Data with Federated Learning. In Advanced Information Networking and Applications (pp. 394–406). https://doi.org/10.1007/978-3-030-75075-6_32

2013

• Framework for verification of preserved and redeployed processes / Miksa, T., Rauber, A., Mayer, R., Pröll, S., Strodl, S., Vieira, R., & Barateiro, J. (2013). Framework for verification of preserved and redeployed processes. In iPRES 2013 - 10th International Conference on Preservation of Digital Objects (pp. 136–145). Biblioteca Nacional de Portugal. http://hdl.handle.net/20.500.12708/54995

2012

• On the Complexity of Process Preservation: A Case Study on an E-Science Experiment / Mayer, R., Strodl, S., & Rauber, A. (2012). On the Complexity of Process Preservation: A Case Study on an E-Science Experiment. In Proceedings of the 9th International Conference on Preservation of Digital Objects (IPRES 2012) (pp. 1–2). http://hdl.handle.net/20.500.12708/54561
• On the Applicability of Workflow Management Systems for the Preservation of Business Processes / Mayer, R., Pröll, S., & Rauber, A. (2012). On the Applicability of Workflow Management Systems for the Preservation of Business Processes. In Proceedings of the 9th International Conference on Preservation of Digital Objects (IPRES 2012) (pp. 58–65). http://hdl.handle.net/20.500.12708/54560
• Multi-modal analysis of music combining audio and lyrics-based features / Mayer, R. (2012). Multi-modal analysis of music combining audio and lyrics-based features [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/161098
• Preserving Scientific Processes from Design to Publication / Mayer, R., Rauber, A., Neumann, M. A., Thomson, J., & Antunes, G. (2012). Preserving Scientific Processes from Design to Publication. In Proceedings of the 16th International Conference on Theory and Practice of Digital Libraries (TPDL 2012) (pp. 113–124). Springer, Heidelberg. http://hdl.handle.net/20.500.12708/54562
• Towards a Decision Support Architecture for Digital Preservation of Business Processes / Neumann, M. A., Miri, H., Thomson, J., Antunes, G., Mayer, R., & Beigl, M. (2012). Towards a Decision Support Architecture for Digital Preservation of Business Processes. In Proceedings of the 9th International Conference on Preservation of Digital Objects (IPRES 2012) (pp. 74–81). http://hdl.handle.net/20.500.12708/54559
• Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset / Schindler, A., Mayer, R., & Rauber, A. (2012). Facilitating Comprehensive Benchmarking Experiments on the Million Song Dataset. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012) (pp. 469–474). http://hdl.handle.net/20.500.12708/54558

2011

• On Wires and Cables: Content Analysis of WikiLeaks Using Self-Organising Maps / Mayer, R., & Rauber, A. (2011). On Wires and Cables: Content Analysis of WikiLeaks Using Self-Organising Maps. In J. Laaksonen & T. Honkela (Eds.), Advances in Self-Organizing Maps (pp. 238–246). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-21566-7_24
• Musical Genre Classification by Ensembles of Audio and Lyrics Features / Mayer, R., & Rauber, A. (2011). Musical Genre Classification by Ensembles of Audio and Lyrics Features. In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2012) (pp. 675–680). University of Miami. http://hdl.handle.net/20.500.12708/54057
• Combination of Feature Selection Methods for Text Categorisation / Neumayer, R., Mayer, R., & Nørvåg, K. (2011). Combination of Feature Selection Methods for Text Categorisation. In Proceedings of 33nd European Conference on Information Retrieval (ECIR´10) (pp. 763–766). Springer. http://hdl.handle.net/20.500.12708/54053
• Towards Time-resilient MIR Processes / Mayer, R., & Rauber, A. (2011). Towards Time-resilient MIR Processes. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012) (pp. 337–342). University of Miami. http://hdl.handle.net/20.500.12708/54557
• Analysing the Similarity of Album Art with Self-Organsing Maps / Mayer, R. (2011). Analysing the Similarity of Album Art with Self-Organsing Maps. In Proceedings of the 8th Workshop on Self-Organizing Maps (WSOM’11) (pp. 357–366). Springer Berlin Heidelberg. http://hdl.handle.net/20.500.12708/54059

2010

• Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond? / Mayer, R., & Rauber, A. (2010). Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond? In Advances in Music Information Retrieval (pp. 333–363). Springer-Verlag. http://hdl.handle.net/20.500.12708/26744
• Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees. / Mayer, R., & Rauber, A. (2010). Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees. In Proceedings of the International Conference on Artificial Neural Networks (ICANN ’10) (pp. 426–431). Springer-Verlag Berlin. http://hdl.handle.net/20.500.12708/53406
• Feature selection in a cartesian ensemble of feature subspace classifiers for music categorisation / Mayer, R., Rauber, A., Ponce de León, P. J., Pérez-Sancho, C., & Iñesta, J. M. (2010). Feature selection in a cartesian ensemble of feature subspace classifiers for music categorisation. In Proceedings of 3rd international workshop on Machine learning and music - MML ’10. ACM Multimedia 2010 - Workshop on Machine Learning and Music, Florence, Italy, EU. ACM. https://doi.org/10.1145/1878003.1878021
• Building Ensembles of Audio and Lyrics Features to Improve Musical Genre Classification / Mayer, R., & Rauber, A. (2010). Building Ensembles of Audio and Lyrics Features to Improve Musical Genre Classification. In Proceedings of the International Conference on Distributed Framework & Applications (DFmA ’10) (pp. 165–170). http://hdl.handle.net/20.500.12708/53403
• A cartesian ensemble of feature subspace classifiers for music categorization / Lidy, T., Mayer, R., Rauber, A., Ponce de Leon, P. J., Pertusa, A., & Iñesta, J. M. (2010). A cartesian ensemble of feature subspace classifiers for music categorization. In Proceedings of the International Society for Music Information Retrieval Conference (ISMIR 2010) (pp. 279–284). http://hdl.handle.net/20.500.12708/53153

2009

• Analytic Comparison of Audio Feature Sets using Self-Organising Maps / Mayer, R., Frank, J., & Rauber, A. (2009). Analytic Comparison of Audio Feature Sets using Self-Organising Maps. In WEMIS 2009 - Workshop on Exploring Musical Information Spaces (pp. 62–67). University of Alicante. http://hdl.handle.net/20.500.12708/52765
• Multi-modal Analysis of Music: A large-scale Evaluation / Mayer, R., & Neumayer, R. (2009). Multi-modal Analysis of Music: A large-scale Evaluation. In N. Orio, A. Rauber, & D. Rizo (Eds.), WEMIS 2009 - Workshop on Exploring Musical Information Spaces (pp. 30–35). University of Alicante. http://hdl.handle.net/20.500.12708/52768
• Makumba: the role of the technology for the sustainability of amateur programming practice and community / Bogdan, C., & Mayer, R. (2009). Makumba: the role of the technology for the sustainability of amateur programming practice and community. In C&T ’09: Proceedings of the fourth international conference on Communities and technologies (pp. 205–214). ACM New York, NY, USA. https://doi.org/10.1145/1556460.1556490
• Establishing Context of Digital Objects' Creation, Content and Usage / Mayer, R., & Rauber, A. (2009). Establishing Context of Digital Objects’ Creation, Content and Usage. In Proceedings of the First International Workshop on Innovation in Digital Preservation (p. 10). http://hdl.handle.net/20.500.12708/52770
  Project: PLANETS (2006–2011)
• Interacting with (semi-) automatically extracted context of digital objects / Mayer, R., Neumayer, R., & Rauber, A. (2009). Interacting with (semi-) automatically extracted context of digital objects. In Proceedings of the 1st Workshop on Context, Information and Ontologies - CIAO ’09. 1st Workshop on Context, Information and Ontologies (CIAO 2009), Heraklion, Greece, EU. ACM. https://doi.org/10.1145/1552262.1552267
  Project: PLANETS (2006–2011)
• Data Recovery from Distributed Personal Repositories / Mayer, R., Neumayer, R., & Rauber, A. (2009). Data Recovery from Distributed Personal Repositories. In M. Agosti, J. Borbinha, S. Kapidakis, C. Papatheodorou, & G. Tsakonas (Eds.), Proceedings of the 13th European Conference on Digital Libraries (ECDL 2009) (pp. 455–458). Springer. http://hdl.handle.net/20.500.12708/52735
  Project: PLANETS (2006–2011)
• Analytic Comparison of Self-Organising Maps / Mayer, R., Baum, D., Neumayer, R., & Rauber, A. (2009). Analytic Comparison of Self-Organising Maps. In J. C. Principe & R. Miikkulainen (Eds.), Proceedings of the 7th Workshop On Self-Organizing Maps St. Augustine, FL, USA (WSOM 2007) (pp. 182–190). Springer. http://hdl.handle.net/20.500.12708/52677

2008

• Unsupervised Learning and Clustering / Greene, D., Cunningham, P., & Mayer, R. (2008). Unsupervised Learning and Clustering. In M. Cord & P. Cunningham (Eds.), Cognitive Technologies. Springer. https://doi.org/10.1007/978-3-540-75171-7
• Map-based Interfaces for Information Management in Large Text Collections / Mayer, R., Roiger, A., & Rauber, A. (2008). Map-based Interfaces for Information Management in Large Text Collections. Journal of Digital Information Management, 6(4), 294–302. http://hdl.handle.net/20.500.12708/170241
• Automating the Management of Scientif Conferences using Information Mining Techniques / Pesenhofer, A., Mayer, R., & Rauber, A. (2008). Automating the Management of Scientif Conferences using Information Mining Techniques. Journal of Digital Information Management, 6(1), 3–11. http://hdl.handle.net/20.500.12708/169718
• Combination of audio and lyrics features for genre classification in digital audio collections / Mayer, R., Neumayer, R., & Rauber, A. (2008). Combination of audio and lyrics features for genre classification in digital audio collections. In Proceeding of the 16th ACM international conference on Multimedia - MM ’08. ACM Multimedia, Vancouver, Canada, Non-EU. ACM New York, NY, USA. https://doi.org/10.1145/1459359.1459382
• Rhyme and Style Features for Musical Genre Classification by Song Lyrics / Mayer, R., Neumayer, R., & Rauber, A. (2008). Rhyme and Style Features for Musical Genre Classification by Song Lyrics. In Proceedings of the 9th International Conference on Music Information Retrieval (pp. 337–342). http://hdl.handle.net/20.500.12708/52254

2007

• Ubiquitäre Web-Anwendungen : Entwicklung endgeräteunabhängiger Lösungsansätze / Mayer, R. (2007). Ubiquitäre Web-Anwendungen : Entwicklung endgeräteunabhängiger Lösungsansätze [Master Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/178017
• Supporting Information Management in Digital Libraries with Map-based Interfaces / Mayer, R., Roiger, A., & Rauber, A. (2007). Supporting Information Management in Digital Libraries with Map-based Interfaces. In Research and Advanced Technology for Digital Libraries (pp. 475–480). Springer LNCS. https://doi.org/10.1007/978-3-540-74851-9_46
• Visualising Class Distribution on Self-Organising Maps / Mayer, R., Taha Abdel, A., & Rauber, A. (2007). Visualising Class Distribution on Self-Organising Maps. In J. Marques de Sá, L. A. Alexandre, W. Duch, & D. P. Mandic (Eds.), Artificial Neural Networks - ICANN 2007 (pp. 359–368). Springer LNCS. https://doi.org/10.1007/978-3-540-74695-9_37
• Supporting Information Management in Digital Libraries with Map-based Interfaces / Mayer, R., Roiger, A., & Rauber, A. (2007). Supporting Information Management in Digital Libraries with Map-based Interfaces. In Y. Badr, R. Chbeir, & P. Pichappan (Eds.), Proceedings of the Second IEEE International Conference on Digital Information Management (ICDIM 2007) (pp. 55–60). IEEE. http://hdl.handle.net/20.500.12708/51998
• Component selection for the metro visualisation of the SOM / Neumayer, R., Mayer, R., & Rauber, A. (2007). Component selection for the metro visualisation of the SOM. In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM’07) (p. 6). http://hdl.handle.net/20.500.12708/51880
• The metro visualisation of component planes for self-organising maps / Neumayer, R., Mayer, R., Pölzlbauer, G., & Rauber, A. (2007). The metro visualisation of component planes for self-organising maps. In Proceedings of the 20th International Joint Conference on Neural Networks (IJCNN’07) (p. 6). http://hdl.handle.net/20.500.12708/51879
• Sky-Metaphor Visualisation for Self-Organising Maps / Latif, K., & Mayer, R. (2007). Sky-Metaphor Visualisation for Self-Organising Maps. In Journal of Universal Computer Science (Proceedings of 7th International Conference on Knowledge Management) (pp. 400–407). http://hdl.handle.net/20.500.12708/51855

2006

• Adding SOMLib capabilities to the Greenstone Digital Library System / Mayer, R., & Rauber, A. (2006). Adding SOMLib capabilities to the Greenstone Digital Library System. In Proceedings of the 9th International Conference on Asian Digital Libraries (pp. 486–489). Lecture Notes in Computer Science 4312 - Proceedings of ICADL 2006. http://hdl.handle.net/20.500.12708/51673
• Improving Scientific Conferences by enhancing Conference Management Systems with Information Mining Capabilities / Pesenhofer, A., Mayer, R., & Rauber, A. (2006). Improving Scientific Conferences by enhancing Conference Management Systems with Information Mining Capabilities. In P. Pichappan (Ed.), Proceedings IEEE International Conference on Digital Information Management (ICDIM 2006) (pp. 359–366). IEEE. http://hdl.handle.net/20.500.12708/51605
• Map of Mozart / Mayer, R., Lidy, T., & Rauber, A. (2006). Map of Mozart. OCG Journal, 2/2006(2), 12–13. http://hdl.handle.net/20.500.12708/173440
• The Map of Mozart / Mayer, R., Lidy, T., & Rauber, A. (2006). The Map of Mozart. In Proceedings of the 7th International Conference on Music Information Retrieval (pp. 351–352). http://hdl.handle.net/20.500.12708/51375

2005

• Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps / Mayer, R., Merkl, D., & Rauber, A. (2005). Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps. In Proceedings of the 5th Workshop On Self-Organizing Maps Paris (WSOM 2005) (pp. 131–138). WSOM. http://hdl.handle.net/20.500.12708/51085

• Privacy Preserving Data Sharing Identifying Records at Risk for Membership Inference Attacks Against Synthetic Data / Niederhametner, N. (2024). Privacy Preserving Data Sharing Identifying Records at Risk for Membership Inference Attacks Against Synthetic Data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.114543
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• Data exfiltration attacks and defenses in neural networks / Siposova, A. (2023). Data exfiltration attacks and defenses in neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.92803
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• Data exfiltration attacks on text classification models trained in a federated manner / Jaoua, M. (2023). Data exfiltration attacks on text classification models trained in a federated manner [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.97105
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• Privacy-preserving collaborative anomaly detection / Arfaoui, G. (2023). Privacy-preserving collaborative anomaly detection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102061
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• Man of Steal: Exploring Model Stealing Attacks against Image Classifiers / Oliynyk, D. (2023). Man of Steal: Exploring Model Stealing Attacks against Image Classifiers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102080
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• The effect of differentially private learning algorithms on neural networks : The protection of sensitive training data / Moser, M. (2022). The effect of differentially private learning algorithms on neural networks : The protection of sensitive training data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.79367
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• Comparison and evaluation of the attacks and defenses against adversarial attacks / Jankovic, A. (2021). Comparison and evaluation of the attacks and defenses against adversarial attacks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.73829
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• Backdoor defenses / Milakovic, A. (2021). Backdoor defenses [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.73830
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• Detecting adversarial examples using surrogate models / Feldšar, B. (2020). Detecting adversarial examples using surrogate models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.83227
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• Federated machine learning : an evaluation of backdoor attacks on image classification data ; Evaluierung von Backdoor-Attacken inneuronalen Netzwerken zur Bildklassifikation / Nuding, F. (2020). Federated machine learning : an evaluation of backdoor attacks on image classification data ; Evaluierung von Backdoor-Attacken inneuronalen Netzwerken zur Bildklassifikation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.66900
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• Fingerprinting relational databases : quality evaluation and impact on learning tasks / Šarčević, T. (2019). Fingerprinting relational databases : quality evaluation and impact on learning tasks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.63100
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• Collaborative music consumption through mobile devices / Frank, J. (2010). Collaborative music consumption through mobile devices [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-36056
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• Evaluierung von Qualitätsmaßen für Selbstorganisierende Karten / Platzgummer, G. (2008). Evaluierung von Qualitätsmaßen für Selbstorganisierende Karten [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/183760