Abstract. We study the problem of dynamic load-balancing on hierarchical platforms. In particular, we consider applications involving heavy communications on a distributed platform...
Due to the large geometry of through-silicon-vias (TSVs) and their connections to the power grid, significant current crowding can occur in 3D ICs. Prior works model TSVs and pow...
Abstract— Motivated by applications in cryptography, we consider a generalization of randomness extraction and the related notion of privacy amplification to the case of two cor...
We describe CSAR, a novel technique for generating cryptographically strong, accountable randomness. Using CSAR, we can generate a pseudo-random sequence and a proof that the elem...
Michael Backes, Peter Druschel, Andreas Haeberlen,...
—Neural Networks have been an active research area for decades. However, privacy bothers many when the training dataset for the neural networks is distributed between two parties...