Privacy-preserving Data Analysis Workshop
Date & Time: Thursday 19th May 2022, 10:00 - 16:00 (hybrid event: in-person and online options available on registration)
Venue: Alliance Manchester Business School, Booth St West, Manchester M15 6PB (room confirmed following registration)
Summary: The advancement of information technology has facilitated the collection and analysis of large amounts of personal data. At the same time, the increased availability of data poses threats in privacy preservation. This workshop brings together researchers and practitioners from different areas of privacy-preserving data analysis, highlighting associated advances and challenges. Among else, the goal of the workshop is to facilitate knowledge exchange and to identify possible future research directions. Please note that places are limited due to venue capacity.
Our Speakers:
- Ranya Aloufi (Imperial College London) - Preserving Privacy from the Edge for Internet of Things
- Borja Balle (DeepMind) - Privacy in Image Classification Models: Informed Attacks and Practical Defences
- Beril Boz (University of Oxford) - Feasibility of ‘Privacy-Preserving Data Analysis Methods’ from a Legal Perspective
- Ana-Maria Cretu (Imperial College London) - Interaction data are identifiable even across long periods of time
- Teddy Cunningham (University of Warwick) - Sharing and Generating Privacy-Preserving Spatio-Temporal Data Using Real-World Knowledge
- Tooska Dargahi (University of Salford) - On the privacy challenges of the connected devices
- Grigorios Loukides (King's College London) - Differentially Private String Sanitization for Frequency-Based Mining Tasks
- Tabitha Ogilvie (Royal Holloway, University of London) - An Introduction to Homomorphic Encryption
- Ylenia Rotalinti (Brunel University London) and Barbara Draghi (MHRA) - How to deal with Privacy and Bias in AI models of National Healthcare Data
- Adam Spannaus (Oak Ridge National Laboratory) - Privacy Considerations within Biomedical Deep Learning
This event is organised by Digital Futures; a highly interdisciplinary network which operates across the whole range of the University’s digital research.
Travel and Contact Information
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Aliiance Manchester Business School
Booth Street West
