most citedShort: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2023

KnowSafe: Combined Knowledge and Data Driven Hazard Mitigation in Artificial Pancreas Systems

Xugui Zhou, Maxfield Kouzel, Chloe Smith +1

Significant progress has been made in anomaly detection and run-time monitoring to improve the safety and security of cyber-physical systems (CPS). However, less attention has been…

cs.CR2023

Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems

Xugui Zhou, Anqi Chen, Maxfield Kouzel +4

Adaptive Cruise Control (ACC) is a widely used driver assistance technology for maintaining the desired speed and safe distance to the leading vehicle. This paper evaluates the sec…

cs.LG2023★ 1 cited

Short: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention

Chloe Smith, Maxfield Kouzel, Xugui Zhou +1

Significant advancements in type 1 diabetes treatment have been made in the development of state-of-the-art Artificial Pancreas Systems (APS). However, lapses currently exist in th…

cs.SE2022

Design and Validation of an Open-Source Closed-Loop Testbed for Artificial Pancreas Systems

Xugui Zhou, Maxfield Kouzel, Haotian Ren +1

The development of a fully autonomous artificial pancreas system (APS) to independently regulate the glucose levels of a patient with Type 1 diabetes has been a long-standing goal…

cs.LG2022

Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems

Xugui Zhou, Maxfield Kouzel, Homa Alemzadeh

The growing complexity of Cyber-Physical Systems (CPS) and challenges in ensuring safety and security have led to the increasing use of deep learning methods for accurate and scala…