Outsourcing medical data and their search services to a third party cloud have been a
popular trend for many medical practices, because using healthcare cloud services can help …

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

Abstract Dynamic Searchable Symmetric Encryption (DSSE) enables a client to encrypt his
document collection in a way that it is still searchable and efficiently updatable. However, all …

We present Path ORAM, an extremely simple Oblivious RAM protocol with a small amount of
client storage. Partly due to its simplicity, Path ORAM is the most practical ORAM scheme …

We design and develop ObliVM, a programming framework for secure computation. ObliVM
offers a domain specific language designed for compilation of programs into efficient …

We propose a new tree-based ORAM scheme called Circuit ORAM. Circuit ORAM makes
both theoretical and practical contributions. From a theoretical perspective, Circuit ORAM …

New hardware primitives such as Intel SGX secure a user-level process in presence of an
untrusted or compromised OS. Such" enclaved execution" systems are vulnerable to several …

Oblivious RAM is a useful primitive that allows a client to hide its data access patterns from
an untrusted server in storage outsourcing applications. Until recently, most prior works on …

We design and implement a Distributed Oblivious Random Access Memory (DORAM) data
structure that is optimized for use in two-party secure computation protocols. We improve …

Encrypted search algorithms (ESA) are cryptographic algorithms that support search over
encrypted data. ESAs can be designed with various primitives including …