3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 3 cited
Baseline Pruning-Based Approach to Trojan Detection in Neural Networks
Peter Bajcsy, Michael Majurski
This paper addresses the problem of detecting trojans in neural networks (NNs) by analyzing systematically pruned NN models. Our pruning-based approach consists of three main steps…
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…