Differentially private (DP) databases can enable privacy-preserving anal...
ML models are increasingly being pushed to mobile devices, for low-laten...
Machine learning (ML) models can leak information about users, and
diffe...
Full-precision deep learning models are typically too large or costly to...
We present Memtrade, the first memory disaggregation system for public
c...
Machine learning (ML) models trained on personal data have been shown to...
The overhead of the kernel storage path accounts for half of the access
...
The same machine learning model running on different edge devices may pr...
In recent years, emerging hardware storage technologies have focused on
...
We present a large-scale characterization of attacker activity across 11...
Tree ensemble models including random forests and gradient boosted decis...
We present the first large-scale characterization of lateral phishing
at...
Typical large-scale recommender systems use deep learning models that ar...
Due to its high performance and decreasing cost per bit, flash is becomi...
As its price per bit drops, SSD is increasingly becoming the default sto...
Web application performance is heavily reliant on the hit rate of
memory...