Fully Homomorphic Encryption (FHE) enables the processing of encrypted d...
Studying mental models has recently received more attention, aiming to
u...
Homomorphic Encryption (HE) enables users to securely outsource both the...
Understanding decision-making in dynamic and complex settings is a chall...
Edge computing devices inherently face tight resource constraints, which...
Graphics Processing Units (GPUs) have been widely used to accelerate
art...
In this paper, we propose Ensemble Learning models to identify factors
c...
The sizes of GPU applications are rapidly growing. They are exhausting t...
GPUs are increasingly being used in security applications, especially fo...
While multi-GPU (MGPU) systems are extremely popular for compute-intensi...
In today's enterprise storage systems, supported data services such as
s...
Moore's Law and Dennard Scaling have guided the semiconductor industry f...
Given a dataset and an existing clustering as input, alternative cluster...
The rapidly growing popularity and scale of data-parallel workloads dema...
Deep neural networks (DNNs) are known vulnerable to adversarial attacks....
We present a highly scalable Monte Carlo (MC) 3D photon transport simula...