We present Serberus, the first comprehensive mitigation for hardening
co...
A rigorous formalization of desired system requirements is indispensable...
Machine learning (ML) inference is a real-time workload that must comply...
We propose RecShard, a fine-grained embedding table (EMB) partitioning a...
There is a growing need for hardware-software contracts which precisely
...
As autonomous driving and augmented reality evolve, a practical concern ...
Users are demanding increased data security. As a result, security is ra...
Neural personalized recommendation models are used across a wide variety...
Homomorphic encryption (HE) is a privacy-preserving technique that enabl...
The paper proposes and optimizes a partial recovery training system, CPR...
Memory consistency models (MCMs) specify the legal ordering and visibili...
The recent Meltdown and Spectre attacks highlight the importance of auto...
Memory consistency models (MCMs) which govern inter-module interactions ...