Graph neural networks (GNN) have become an important class of neural net...
Side-channel attacks that use machine learning (ML) for signal analysis ...
Byte-addressable, non-volatile memory (NVM) is emerging as a promising
t...
The increased memory demands of workloads is putting high pressure on La...
Recent security vulnerabilities that target speculative execution (e.g.,...
Our community has greatly improved the efficiency of deep learning
appli...
The security of computers is at risk because of information leaking thro...
The security of computers is at risk because of information leaking thro...
Ubiquitous multicore processors nowadays rely on an integrated
packet-sw...
Deep Neural Networks (DNNs) are fast becoming ubiquitous for their abili...
Wireless on-chip communication is a promising candidate to address the
p...