3 citations · 5 across the 14 of their papers we have counts for
4 papers · 1 filter
Integrating Neural Differential Forecasting with Safe Reinforcement Learning for Blood Glucose Regulation
Yushen Liu, Yanfu Zhang, Xugui Zhou
Automated insulin delivery for Type 1 Diabetes must balance glucose control and safety under uncertain meals and physiological variability. While reinforcement learning (RL) enable…
Revisiting Adversarial Perception Attacks and Defense Methods on Autonomous Driving Systems
Cheng Chen, Yuhong Wang, Nafis S Munir +2
Autonomous driving systems (ADS) increasingly rely on deep learning-based perception models, which remain vulnerable to adversarial attacks. In this paper, we revisit adversarial a…
Decoding Neighborhood Environments with Large Language Models
Andrew Cart, Shaohu Zhang, Melanie Escue +5
Neighborhood environments include physical and environmental conditions such as housing quality, roads, and sidewalks, which significantly influence human health and well-being. Tr…
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System
Cheng Chen, Grant Xiao, Daehyun Lee +4
Drivers are becoming increasingly reliant on advanced driver assistance systems (ADAS) as autonomous driving technology becomes more popular and developed with advanced safety feat…