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 …

The increasing volume of personal and sensitive data being harvested by data controllers
makes it increasingly necessary to use the cloud not just to store the data, but also to …

Membership inference is one of the simplest privacy threats faced by machine learning
models that are trained on private sensitive data. In this attack, an adversary infers whether a …

Secure multi-party computation (MPC) has evolved from a theoretical curiosity in the 1980s
to a tool for building real systems today. Over the past decade, MPC has been one of the …

Intel has introduced a hardware-based trusted execution environment, Intel Software Guard
Extensions (SGX), that provides a secure, isolated execution environment, or enclave, for a …

We propose EnclaveDB, a database engine that guarantees confidentiality, integrity, and
freshness for data and queries. EnclaveDB guarantees these properties even when the …

Dynamic Searchable Symmetric Encryption (DSSE) is a practical cryptographic primitive that
assists servers to provide search and update functionalities in the ciphertext domain. Recent …

Users of modern data-processing services such as tax preparation or genomic screening
are forced to trust them with data that the users wish to keep secret. Ryoan1 protects secret …

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 …

Searchable symmetric encryption (SSE) has been widely applied in the encrypted database
for queries in practice. Although SSE is powerful and feature-rich, it is always plagued by …