SBA Research is a research center for Information Security funded partly by the national initiative for COMET Competence Centers for Excellent Technologies.
With this we explore the transformative potential of AI in facilitating interdisciplinary research, enhancing learning experiences, and reducing academic workload. It delves into specific AI-driven tools that can democratize knowledge access, benefit both generalists and specialists, and streamline administrative tasks. The presentation aims to stimulate discussions on responsibly harnessing AI… Read More
The article discusses potential strategies for automation of assessment of data management plans so that researchers and funders can receive quick feedback on the quality and FAIRness of planned or executed actions. The results presented on the paper will have impact on the new features developed in the… Read More
Our article “I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences” by Daryna Oliynyk, Rudolf Mayer and Andreas Rauber, researchers at SBA Research, was just published by ACM Computing Surveys. The… Read More
The systematic mapping study on combining Machine Learning and Semantic Web has been accepted by ACM Computing Surveys. This was an international joint effort of Semantic Web Company (SWC), Vienna University of Technology, WU (Vienna University of Economics and Business), University of Vienna, SBA Research, University of Mannheim, and Vrije… Read More
Our colleague Sebastian Raubitzek, researcher at SBA Research and a member of the Security and Privacy Research Group at the University of Vienna, has published a journal article titled Classification of Obfuscation Techniques in LLVM IR: Machine Learning on Vector Representations in MDPI's journal Machine Learning and Knowledge Extraction. ... ∞