The broad application of artificial intelligence techniques in medicine is currently hindered
by limited dataset availability for algorithm training and validation, due to the absence of …

High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Recent Searchable Symmetric Encryption (SSE) schemes enable secure searching over an
encrypted database stored in a server while limiting the information leaked to the server …

We present attacks that use only the volume of responses to range queries to reconstruct
databases. Our focus is on practical attacks that work for large-scale databases with many …

We show that the problem of reconstructing encrypted databases from access pattern
leakage is closely related to statistical learning theory. This new viewpoint enables us to …

Data confidentiality is one of the biggest concerns that hinders enterprise customers from
moving their workloads to the cloud. Thanks to the trusted execution environment (TEE), it is …

A private data federation is a set of autonomous databases that share a unified query
interface offering in-situ evaluation of SQL queries over the union of the sensitive data of its …

The CyBOK project would like to understand how the CyBOK is being used and its uptake.
The project would like organisations using, or intending to use, CyBOK for the purposes of …

Dynamic searchable symmetric encryption (DSSE) enables a server to efficiently search and
update over encrypted files. To minimize the leakage during updates, a security notion …

Combining deep learning image analysis methods and large-scale imaging datasets offers
many opportunities to neuroscience imaging and epidemiology. However, despite these …