Research Interests
Anastasia’s research focuses on translating advances in AI privacy and security into practical and applicable solutions and contributing to the development of secure, privacy-preserving, and trustworthy AI systems.
Bio
Anastasia Pustozerova is a researcher specializing in privacy and security of AI systems, with extensive experience in assessing and mitigating privacy and cybersecurity risks in machine learning. She has contributed to several European research projects, including FeatureCloud, NEWSROOM, dAIbetes, and PROBE, working on topics such as federated learning, privacy-enhancing technologies, privacy risk assessment, and secure AI development.
Anastasia holds a joint European Master’s degree in Computational Logic from TU Wien, TU Dresden, and the Free University of Bozen-Bolzano and is currently pursuing a PhD at TU Wien.