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 …

Trustworthy software requires strong privacy and security guarantees from a secure trust
base in hardware. While chipmakers provide hardware support for basic security and …

A practically feasible low-overhead hardware design that provides strong defenses against
memory bus side channel remains elusive. This paper observes that smart memory, memory …

This paper presents post-silicon results for the Ascend secure processor, taped out in a 32
nm SOI process. Ascend prevents information leakage over a processor's digital I/O pins—in …

Cloud computing has evolved into a promising computing paradigm. However, it remains a
challenging task to protect application privacy and, in particular, the memory access …

Path ORAM is an effective ORAM (Oblivious RAM) primitive for protecting memory access
patterns. Path ORAM converts each off-chip memory request from user program to tens to …

Path ORAM (Oblivious RAM) is a recently proposed ORAM protocol for preventing
information leakage from memory access sequences. It receives wide adoption due to its …

Cloud storage can simplify data management and reduce data maintenance costs.
However, many users and companies hesitate to move their data to cloud storage because …

Memory access patterns could leak temporal and spatial information in a sensitive program;
therefore, obfuscated memory access patterns are desired from the security perspective …

As more critical applications move to the cloud, there is a pressing need to provide privacy
guarantees for data and computation. While cloud infrastructures are vulnerable to a variety …