5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 5 cited
Assessing Intelligence in Artificial Neural Networks
Nicholas J. Schaub, Nathan Hotaling
The purpose of this work was to develop of metrics to assess network architectures that balance neural network size and task performance. To this end, the concept of neural efficie…
cs.CR2020
Scientific Calculator for Designing Trojan Detectors in Neural Networks
Peter Bajcsy, Nicholas J. Schaub, Michael Majurski
This work presents a web-based interactive neural network (NN) calculator and a NN inefficiency measurement that has been investigated for the purpose of detecting trojans embedded…