Spencer Hallyburton

According to our database, Spencer Hallyburton authored at least 19 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Trusted Data Fusion, Multi-Agent Autonomy, Autonomous Vehicles.

R. Spencer Hallyburton, Miroslav Pajic

CoRR, July, 2025

RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles.

David Hunt, Shaocheng Luo, Spencer Hallyburton, Shafii Nillongo, Yi Li, Tingjun Chen, Miroslav Pajic

CoRR, July, 2025

Probabilistic Segmentation for Robust Field of View Estimation.

R. Spencer Hallyburton, David Hunt, Yiwei He, Judy He, Miroslav Pajic

CoRR, March, 2025

Assured Autonomy with Neuro-Symbolic Perception.

R. Spencer Hallyburton, Miroslav Pajic

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

Trust-Based Assured Sensor Fusion in Distributed Aerial Autonomy.

R. Spencer Hallyburton, Miroslav Pajic

Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025

Security-Aware Sensor Fusion with MATE: the Multi-Agent Trust Estimator.

R. Spencer Hallyburton, Miroslav Pajic

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion.

R. Spencer Hallyburton, David Hunt, Shaocheng Luo, Miroslav Pajic

CoRR, 2024

RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost mmWave Radars for Aerial and Ground Vehicles.

David Hunt, Shaocheng Luo, Amir Khazraei, Xiao Zhang, Spencer Hallyburton, Tingjun Chen, Miroslav Pajic

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles.

David Hunt, Shaocheng Luo, Amir Khazraei, Xiao Zhang, Spencer Hallyburton, Tingjun Chen, Miroslav Pajic

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy.

R. Spencer Hallyburton, Miroslav Pajic

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023

Datasets, Models, and Algorithms for Multi-Sensor, Multi-agent Autonomy Using AVstack.

R. Spencer Hallyburton, Miroslav Pajic

CoRR, 2023

Securing Autonomous Vehicles Under Partial-Information Cyber Attacks on LiDAR Data.

R. Spencer Hallyburton, Miroslav Pajic

CoRR, 2023

AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development.

Robert Spencer Hallyburton, Shucheng Zhang, Miroslav Pajic

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

A Modular Platform For Collaborative, Distributed Sensor Fusion.

R. Spencer Hallyburton, Nate Zelter, David Hunt, Kristen Angell, Miroslav Pajic

Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems, 2023

2022

Security Analysis of Camera-LiDAR Fusion Against Black-Box Attacks on Autonomous Vehicles.

R. Spencer Hallyburton, Yupei Liu, Yulong Cao, Z. Morley Mao, Miroslav Pajic

Proceedings of the 31st USENIX Security Symposium, 2022

Learning-Based Vulnerability Analysis of Cyber-Physical Systems.

Amir Khazraei, Spencer Hallyburton, Qitong Gao, Yu Wang, Miroslav Pajic

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

Optimal Myopic Attacks on Nonlinear Estimation.

R. Spencer Hallyburton, Amir Khazraei, Miroslav Pajic

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Security Analysis of Camera-LiDAR Semantic-Level Fusion Against Black-Box Attacks on Autonomous Vehicles.

R. Spencer Hallyburton, Yupei Liu, Miroslav Pajic

CoRR, 2021

2017

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks.

Cem M. Deniz, Spencer Hallyburton, Arakua Welbeck, Stephen Honig, Kyunghyun Cho, Gregory Chang

CoRR, 2017