The Cloud computing paradigm has revolutionised the computer science horizon during the
past decade and has enabled the emergence of computing as the fifth utility. It has captured …

Privacy-preserving multi-party machine learning allows multiple organizations to perform
collaborative data analytics while guaranteeing the privacy of their individual datasets …

Many systems run rich analytics on sensitive data in the cloud, but are prone to data
breaches. Hardware enclaves promise data confidentiality and secure execution of arbitrary …

Many encrypted database (EDB) systems have been proposed in the last few years as cloud
computing has grown in popularity and data breaches have increased. The state-of-the-art …

Today's cloud computing infrastructure requires substantial trust. Cloud users rely on both
the provider's staff and its globally distributed software/hardware platform not to expose any …

We present VC3, the first system that allows users to run distributed MapReduce
computations in the cloud while keeping their code and data secret, and ensuring the …

Recently, various protocols have been proposed for securely outsourcing database storage
to a third party server, ranging from systems with" full-fledged" security based on strong …

When two or more parties need to compute a common result while safeguarding their
sensitive inputs, they use secure multiparty computation (SMC) techniques such as garbled …

Distributed ledgers (eg blockchains) enable financial institutions to efficiently reconcile cross-
organization transactions. For example, banks might use a distributed ledger as a settlement …

MONOMI is a system for securely executing analytical workloads over sensitive data on an
untrusted database server. MONOMI works by encrypting the entire database and running …