20 citations · 60 across the 7 of their papers we have counts for
8 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…
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…
Monitoring Cumulative Cost Properties
Omar Al-Bataineh, Daniel Jun Xian Ng, Arvind Easwaran
This paper considers the problem of decentralized monitoring of a class of non-functional properties (NFPs) with quantitative operators, namely cumulative cost properties. The dece…
Automatic Generation of Hierarchical Contracts for Resilience in Cyber-Physical Systems
Zhiheng Xu, Daniel Jun Xian Ng, Arvind Easwaran
With the growing scale of Cyber-Physical Systems (CPSs), it is challenging to maintain their stability under all operating conditions. How to reduce the downtime and locate the fai…
Demo Abstract: Contract-based Hierarchical Resilience Framework for Cyber-Physical Systems
Daniel Jun Xian Ng, Arvind Easwaran, Sidharta Andalam
This demonstration presents a framework for building a resilient Cyber-Physical Systems (CPS) cyber-infrastructure through the use of hierarchical parametric assume-guarantee contr…
CLAIR: A Contract-based Framework for Developing Resilient CPS Architectures
Sidharta Andalam, Daniel Jun Xian Ng, Arvind Easwaran +1
Industrial cyber-infrastructure is normally a multilayered architecture. The purpose of the layered architecture is to hide complexity and allow independent evolution of the layers…