3 citations · 5 across the 14 of their papers we have counts for
16 papers
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Yushen Liu, Yin-Jen Chen, Ziyi Chen +4
Many safety-critical control problems are modeled as risk-sensitive partially observable Markov decision processes, where the controller must make decisions from incomplete observa…
SOMA: Efficient Multi-turn LLM Serving via Small Language Model
Xueqi Cheng, Qiong Wu, Zhengyi Zhou +3
Large Language Models (LLMs) are increasingly deployed in multi-turn dialogue settings where preserving conversational context across turns is essential. A standard serving practic…
ReAD: Reinforcement-Guided Capability Distillation for Large Language Models
Xueqi Cheng, Xugui Zhou, Tyler Derr +1
Capability distillation applies knowledge distillation to selected model capabilities, aiming to compress a large language model (LLM) into a smaller one while preserving the abili…
Spatiotemporal-Aware Bit-Flip Injection on DNN-based Advanced Driver Assistance Systems (extended version)
Taibiao Zhao, Xiang Zhang, Mingxuan Sun +2
Modern advanced driver assistance systems (ADAS) rely on deep neural networks (DNNs) for perception and planning. Since DNNs' parameters reside in DRAM during inference, bit flips…
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…
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…
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…
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…
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
Maryam Bagheri, Josephine Lamp, Xugui Zhou +2
Machine Learning (ML) technologies have been increasingly adopted in Medical Cyber-Physical Systems (MCPS) to enable smart healthcare. Assuring the safety and effectiveness of lear…
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…
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…
Strategic Safety-Critical Attacks Against an Advanced Driver Assistance System
Xugui Zhou, Anna Schmedding, Haotian Ren +4
A growing number of vehicles are being transformed into semi-autonomous vehicles (Level 2 autonomy) by relying on advanced driver assistance systems (ADAS) to improve the driving e…
Data-driven Design of Context-aware Monitors for Hazard Prediction in Artificial Pancreas Systems
Xugui Zhou, Bulbul Ahmed, James H. Aylor +2
Medical Cyber-physical Systems (MCPS) are vulnerable to accidental or malicious faults that can target their controllers and cause safety hazards and harm to patients. This paper p…