20 citations · 36 across the 4 of their papers we have counts for
4 papers
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications
Yeli Feng, Daniel Jun Xian Ng, Arvind Easwaran
Uncertainties in machine learning are a significant roadblock for its application in safety-critical cyber-physical systems (CPS). One source of uncertainty arises from distributio…
WiP Abstract : Robust Out-of-distribution Motion Detection and Localization in Autonomous CPS
Yeli Feng, Arvind Easwaran
Highly complex deep learning models are increasingly integrated into modern cyber-physical systems (CPS), many of which have strict safety requirements. One problem arising from th…
Embedded out-of-distribution detection on an autonomous robot platform
Michael Yuhas, Yeli Feng, Daniel Jun Xian Ng +2
Machine learning (ML) is actively finding its way into modern cyber-physical systems (CPS), many of which are safety-critical real-time systems. It is well known that ML outputs ar…
Towards Robust Classification with Image Quality Assessment
Yeli Feng, Yiyu Cai
Recent studies have shown that deep convolutional neural networks (DCNN) are vulnerable to adversarial examples and sensitive to perceptual quality as well as the acquisition condi…