Boost Your AI Compliance and Security with Expert Guidance
SBA Research and the Research Institute – Digital Human Rights Center invite you to a focused seminar designed to help organizations navigate the complex legal and security landscape of artificial intelligence.
Tailored for companies and institutions developing or deploying AI systems, this seminar equips participants with the tools to meet regulatory requirements – such as the AI Act – and strengthen the security and privacy of their systems. You’ll explore real-world threats like poisoning and inference attacks and learn how to counter them using proven methods including anonymization, differential privacy, and homomorphic encryption.
Legal insights cover the latest developments, including the AI Act and the European Data Protection Board’s recent opinion on AI models. Through practical examples and hands-on exercises, the seminar ensures participants leave with actionable skills. With the AI Act requiring a sufficient level of AI literacy among staff, this seminar is a strategic investment in compliance, security, and professional development.
Speakers
Anastasia Pustozerova Anastasia Pustozerova is a researcher at SBA Research and the University of Vienna, and a PhD candidate at TU Wien. Her research focuses on mitigating privacy and security threats in machine learning, with a particular emphasis on developing robust defence strategies. She holds a Bachelor’s degree in Applied Mathematics and Physics from St. Petersburg University and a joint Master’s degree in Computational Logic from TU Wien, TU Dresden, and the Free University of Bozen-Bolzano. Since 2020, she has also lectured at the St. Pölten University of Applied Sciences, where she teaches a course on privacy and security in federated learning.
Further training inquiries: apustozerova@sba-research.org
Tanja Šarčević Dipl.-Ing. Tanja Šarčević is a Machine Learning Privacy and Security researcher at SBA Research and a PhD candidate at TU Wien. Previously, she completed her bachelor’s in Computer Science at Zagreb University and a master’s degree in Logic and Computation at TU Wien, and has since been a lecturer at TU Wien and FH Technicum Wien, teaching about privacy and security in Machine Learning. Her research focuses on trustworthy ML, particularly on data privacy and ownership protection.
Dr. Madeleine Müller is Senior Researcher and Consultant at the Research Institute – Digital Human Rights Center. She studied law and philosophy at the University of Vienna and at the Université Paris 1 Panthéon-Sorbonne and completed the Master’s programme ‘Political Philosophy’ at the Universitat Pompeu Fabra Barcelona. She specialises in digital human rights, with a strong focus on data protection law, artificial intelligence, automated decision-making, platform regulation and the rights of affected persons.
Rudolf Mayer is working as a senior researcher at SBA Research since February 2011. He received his master’s degree in Business Informatics from the TU Wien in 2004, his master’s degree in Computer Science in 2012, and is currently working towards a PhD degree. At SBA Research, his research focus lies on machine learning, specifically including privacy-preserving learning and security of machine learning, and data management, among others in the currently ongoing research projects FeatureCloud (EU H2020), focusing on privacy-preserving federated learning, and projects funded by the Austrian Research Promotion Agency (FFG): WellFort, KnoP-2D, PRIMAL, and Gastric.