84 citations · 110 across the 22 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Uncertainty-Aware Federated Learning for Infant Movement Analysis
Edmond S. L. Ho
Infant movement analysis provides valuable biomarkers for the early identification of neurodevelopmental disorders. Recent advances in deep learning have enabled automated analysis…
cs.LG2022
Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity
Marco Marchetti, Edmond S. L. Ho
Nowadays, we are more and more reliant on Deep Learning (DL) models and thus it is essential to safeguard the security of these systems. This paper explores the security issues in…