CPDPai2025 - Modelling Privacy Threats of Medical Data and Health Data Spaces скачать в хорошем качестве

CPDPai2025 - Modelling Privacy Threats of Medical Data and Health Data Spaces

Modelling Privacy Threats of Medical Data and Health Data Spaces Publication and sharing of medical data is considered desirable for precision medicine and research, especially for rare diseases. The European Union and several member states are therefore planning extensive sharing of medical data with public and private research institutions, for example through the Electronic Health Record (ePA). However, medical data is obviously extremely privacy sensitive. Modelling privacy threats will be necessary for the preparation of DPIAs, but has proven to be complex and difficult to achieve objective results. This panel will therefore discuss experiences and approaches to privacy threat modelling and impact assessment in the context of medical data sharing. Questions to be answered: Which risks arise in the context of medical data sharing, and how can their potential impact be assessed. What is the impact of recent advances in training foundation models and data reconstruction attacks, and possible future techniques on this issue? How can such risks systematically be identified, how can tools like PIA, LINDDUN and similar approaches help? How can we reduce the risk of medical data disclosure disasters in the EU? Organised by Karlsruhe Institute of Technology with Thorsten Strufe (moderator), Franziska Boehm, Dominique Schroeder, Kim Wuyts, Isabel Wagner More information: https://cpdp.be/4266