Abstract We present Spline-based Convolutional Neural Networks (SplineCNNs), a variant
of deep neural networks for irregular structured and geometric input, eg, graphs or meshes …

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 …

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 are witnessing a confluence between applied cryptography and secure hardware
systems in enabling secure cloud computing. On one hand, work in applied cryptography …

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 …

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 …

With the development of cloud computing, the great amount of storage data requires safe
and efficient data sharing. In multiparty storage data sharing, first, the confidentiality of …

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

Cloud services have revolutionized modern computing. The benefits of outsourcing data and
computation come with security and privacy concerns. This monograph explores the …

We present Onion ORAM, an Oblivious RAM (ORAM) with constant worst-case bandwidth
blowup that leverages poly-logarithmic server computation to circumvent the logarithmic …