News
Paper Accepted @IEEE eScience 2022
The paper titled Exploring the Enforcement of Private, Dynamic Policies on Medical Workflow Execution by Christopher A. Esterhuyse, Tim Muller, Thomas van Binsbergen, and Adam S. Z. Belloum was accepted at 18th IEEE eScience Conference 2022: Democratizing Science.
Paper Accepted @PPAI23
The paper titled On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence by Daphnee Chabal, Dolly Sapra, and Zoltan Mann was accepted at 4th AAAI Workshop on Privacy-Preserving Artificial Intelligence. Abstract: Deep Neural Networks (DNNs) Inference in Edge Computing, often coined Edge Intelligence, requires solutions to insure that sensitive data confidentiality and intellectual property are not revealed in the process.
Assistant or Associate Professor in Security and Privacy
Join our team! We have an open position in the broad area of security and privacy. The position can be filled on the level of either Assistant Professor or Associate Professor.
Two PhD positions on efficient privacy-preserving techniques for data analysis and machine learning
How can the privacy of health-related personal data be preserved, while using data analysis and machine learning for innovative medical approaches? What privacy-preserving techniques should be used and how, to achieve given privacy and utility objectives?
