ERC Advanced Grant · 2020
Hardware Acceleration for Computing on Encrypted Data
Electronics are part of all aspects of our daily life, at home, at work, while on the road. Smart cities, medical devices, financial transactions, self-driving cars, all rely on electronics. At the same time, these activities generate huge amounts of data, which for privacy and security reasons, are stored encrypted on a possibly untrusted cloud server. Yet, many applications benefit from operations on this data. Statistics or machine learning on medical, financial, automotive or energy data could discover trends or abuse, could be used to monitor pandemics, to tune supply and demand, and much more. Ideally, the calculations on the data should be done without decrypting them first to avoid…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.